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soob3123/amoral-gemma3-4B-v1-gguf | soob3123 | 4415bbe51129bb35edbd11bb8bca89d9616e824b | 2025-03-20T06:05:11+00:00 | 2025-03-20T01:09:44Z | false | False | null | 2,238 | null | 11 | transformers | null | null | null | [
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Gen-Verse/ReasonFlux-F1 | Gen-Verse | ee4dee4a891c4d95d46289760ee261606831d898 | 2025-03-22T12:22:03+00:00 | 2025-03-21T13:55:30Z | false | False | null | 54 | null | 5 | transformers | null | null | null | [
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mistralai/Mistral-Nemo-Instruct-FP8-2407 | mistralai | ce59c50e890db17524b4fe24b5f919b1ebef347a | 2025-03-21T16:12:40+00:00 | 2025-03-21T14:24:45Z | false | False | null | 0 | null | 8 | null | null | null | null | [
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Mungert/Llama-3.1-Nemotron-Nano-8B-v1-GGUF | Mungert | f5a7caf160cfd9d32244d9c2faa0edffc08e2d97 | 2025-03-24T23:16:51+00:00 | 2025-03-21T19:44:49Z | false | False | null | 2,008 | null | 4 | transformers | null | null | null | [
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Ertugrul/Qwen2.5-VL-7B-Captioner-Relaxed | Ertugrul | 09c7ef9397acaa0fe60356e42415d40de81c5984 | 2025-03-22T10:14:07+00:00 | 2025-03-21T21:57:15Z | false | False | null | 447 | null | 11 | transformers | null | null | null | [
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AbstractPhil/clips | AbstractPhil | 3194c0f0977aef134c22fdcfa17b101633f9d67d | 2025-03-29T15:31:32+00:00 | 2025-03-22T13:47:12Z | false | False | null | 20 | null | 4 | null | null | null | null | [
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bartowski/SicariusSicariiStuff_X-Ray_Alpha-GGUF | bartowski | cdbf25e6d13683bfdca041dcafcd4d5bd0d3f08e | 2025-03-25T09:56:32+00:00 | 2025-03-22T21:14:00Z | false | False | null | 4,073 | null | 7 | null | null | null | null | [
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language:
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license: gemma
pipeline_tag: image-text-to-text
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base_model_relation: quantized | null | 67df281827f7bb613868a3f0 | bartowski/SicariusSicariiStuff_X-Ray_Alpha-GGUF |
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nvidia/MambaVision-B-21K | nvidia | bfe552a588f9f250ea0583951ea4dd5a10a198f8 | 2025-03-29T18:16:34+00:00 | 2025-03-24T04:30:41Z | false | False | null | 72 | null | 4 | transformers | null | null | null | [
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mlx-community/Qwen2.5-VL-32B-Instruct-bf16 | mlx-community | 263196bf2016253dc818996618d619484aa6f6b9 | 2025-03-27T00:09:52+00:00 | 2025-03-24T18:52:30Z | false | False | null | 186 | null | 4 | transformers | null | null | null | [
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mradermacher/DeepSeek-V3-0324-GGUF | mradermacher | 94cc9d5a97508459544638e7100e76eab9dbbacb | 2025-03-28T03:54:52+00:00 | 2025-03-24T21:00:18Z | false | False | null | 0 | null | 4 | transformers | null | null | null | [
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language:
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language:
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library_name: transformers
license: mit
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samgreen/Qwen2.5-VL-32B-Instruct-GGUF | samgreen | 27bc8122723d2f0761c539cf35b1fd0a086c8c3b | 2025-03-26T16:24:38+00:00 | 2025-03-25T09:09:20Z | false | False | null | 7,265 | null | 4 | null | null | null | null | [
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Mungert/gemma-3-27b-it-GGUF | Mungert | f0b94138c5f2438fb10dddc4df565656ef99b608 | 2025-03-28T01:16:05+00:00 | 2025-03-26T03:50:50Z | false | False | null | 1,723 | null | 4 | transformers | null | null | null | [
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"base_model:quantized:google/gemma-3-27b-pt",
"license:gemma",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | image-text-to-text | null | 4 | base_model: google/gemma-3-27b-pt
library_name: transformers
license: gemma
pipeline_tag: image-text-to-text
extra_gated_heading: Access Gemma on Hugging Face
extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and
agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging
Face and click below. Requests are processed immediately.
extra_gated_button_content: Acknowledge license | null | null | null | null | [
".gitattributes",
"README.md",
"gemma-3-27b-it-F16-00001-of-00002.gguf",
"gemma-3-27b-it-F16-00002-of-00002.gguf",
"gemma-3-27b-it-bf16-q4_k.gguf",
"gemma-3-27b-it-bf16-q6_k.gguf",
"gemma-3-27b-it-bf16-q8_0.gguf",
"gemma-3-27b-it-f16-q4_k.gguf",
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"gemma-3-27b-it-q4_1_l.gguf",
"gemma-3-27b-it-q4_k_l.gguf",
"gemma-3-27b-it-q4_k_m.gguf",
"gemma-3-27b-it-q4_k_s.gguf",
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"gemma-3-27b-it-q5_0_l.gguf",
"gemma-3-27b-it-q5_1.gguf",
"gemma-3-27b-it-q5_1_l.gguf",
"gemma-3-27b-it-q5_k_l.gguf",
"gemma-3-27b-it-q5_k_m.gguf",
"gemma-3-27b-it-q5_k_s.gguf",
"gemma-3-27b-it-q6_k_l.gguf",
"gemma-3-27b-it-q6_k_m.gguf",
"gemma-3-27b-it-q8_0.gguf",
"gemma-3-27b-it.imatrix"
] | null | null | null | 2025-03-28T01:16:05+00:00 | base_model: google/gemma-3-27b-pt
library_name: transformers
license: gemma
pipeline_tag: image-text-to-text
extra_gated_heading: Access Gemma on Hugging Face
extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and
agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging
Face and click below. Requests are processed immediately.
extra_gated_button_content: Acknowledge license | null | 67e3799aa281c900d76fda67 | Mungert/gemma-3-27b-it-GGUF |
strangerzonehf/Realism-H6-Flux | strangerzonehf | e5030fadfc83e483c325758dc6bc69dac11305ee | 2025-03-27T05:13:05+00:00 | 2025-03-26T10:49:19Z | false | False | null | 309 | null | 4 | diffusers | null | null | null | [
"diffusers",
"text-to-image",
"lora",
"template:diffusion-lora",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:adapter:black-forest-labs/FLUX.1-dev",
"license:other",
"region:us"
] | text-to-image | null | 4 | base_model: black-forest-labs/FLUX.1-dev
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: Realism H6, a young woman with dark brown hair and brown eyes stands against
a stark white backdrop. She is dressed in a bright yellow polka dotted dress,
adorned with blue polka dots. Her hair is pulled back, cascading down her shoulders,
framing her face. Her lips, painted a vibrant shade of pink, is adorned with tiny
black dots, adding a touch of contrast to her yellow dress.
output:
url: https://huggingface.co/strangerzonehf/Realism-H6-Flux/resolve/main/images/1111.png
- text: Realism H6, Woman in a red jacket, snowy, in the style of hyper-realistic
portraiture, caninecore, mountainous vistas, timeless beauty, palewave, iconic,
distinctive noses --ar 72:101 --stylize 750 --v 6
output:
url: https://huggingface.co/strangerzonehf/Realism-H6-Flux/resolve/main/images/2222.png
- text: Realism H6, Captured at eye-level, a close-up portrait of a woman with long
brown hair, a black sweater with white polka dots on it, is positioned in front
of a blue wall. The womans face is angled slightly to the right, her lips are
slightly parted, and her eyes are slightly open. Her hair cascades over her shoulders,
adding a touch of warmth to her face.
output:
url: https://huggingface.co/strangerzonehf/Realism-H6-Flux/resolve/main/images/3333.png
- text: Realism H6, a close-up shot of a mans face features a neutral expression.
The mans eyes are a piercing blue, and his hair is a rich brown, with a few wispy
bangs. His eyebrows are a darker shade of brown, adding a touch of texture to
his face. He is dressed in a black blazer, a black t-shirt, and a black collared
shirt. The backdrop is a stark white, creating a stark contrast to the mans attire.
output:
url: https://huggingface.co/strangerzonehf/Realism-H6-Flux/resolve/main/images/4444.png
instance_prompt: Realism H6 | null | null | null | null | [
".gitattributes",
"README.md",
"Realism H6.safetensors",
"images/1111.png",
"images/2222.png",
"images/3333.png",
"images/4444.png"
] | null | null | null | 2025-03-27T05:13:05+00:00 | base_model: black-forest-labs/FLUX.1-dev
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: Realism H6, a young woman with dark brown hair and brown eyes stands against
a stark white backdrop. She is dressed in a bright yellow polka dotted dress,
adorned with blue polka dots. Her hair is pulled back, cascading down her shoulders,
framing her face. Her lips, painted a vibrant shade of pink, is adorned with tiny
black dots, adding a touch of contrast to her yellow dress.
output:
url: https://huggingface.co/strangerzonehf/Realism-H6-Flux/resolve/main/images/1111.png
- text: Realism H6, Woman in a red jacket, snowy, in the style of hyper-realistic
portraiture, caninecore, mountainous vistas, timeless beauty, palewave, iconic,
distinctive noses --ar 72:101 --stylize 750 --v 6
output:
url: https://huggingface.co/strangerzonehf/Realism-H6-Flux/resolve/main/images/2222.png
- text: Realism H6, Captured at eye-level, a close-up portrait of a woman with long
brown hair, a black sweater with white polka dots on it, is positioned in front
of a blue wall. The womans face is angled slightly to the right, her lips are
slightly parted, and her eyes are slightly open. Her hair cascades over her shoulders,
adding a touch of warmth to her face.
output:
url: https://huggingface.co/strangerzonehf/Realism-H6-Flux/resolve/main/images/3333.png
- text: Realism H6, a close-up shot of a mans face features a neutral expression.
The mans eyes are a piercing blue, and his hair is a rich brown, with a few wispy
bangs. His eyebrows are a darker shade of brown, adding a touch of texture to
his face. He is dressed in a black blazer, a black t-shirt, and a black collared
shirt. The backdrop is a stark white, creating a stark contrast to the mans attire.
output:
url: https://huggingface.co/strangerzonehf/Realism-H6-Flux/resolve/main/images/4444.png
instance_prompt: Realism H6 | null | 67e3dbaf75a3c275d10ff6b7 | strangerzonehf/Realism-H6-Flux |
ToastyPigeon/Gemma-3-Starshine-12B | ToastyPigeon | 2038bf250060bdd1689c06f9090d95e4dfe9821d | 2025-03-28T04:45:20+00:00 | 2025-03-27T04:20:17Z | false | False | null | 317 | null | 4 | transformers | null | null | null | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"mergekit",
"merge",
"conversational",
"base_model:ToastyPigeon/Gemma-3-Confetti-12B",
"base_model:merge:ToastyPigeon/Gemma-3-Confetti-12B",
"base_model:allura-org/Gemma-3-Glitter-12B",
"base_model:merge:allura-org/Gemma-3-Glitter-12B",
"base_model:google/gemma-3-12b-it",
"base_model:merge:google/gemma-3-12b-it",
"base_model:google/gemma-3-12b-pt",
"base_model:merge:google/gemma-3-12b-pt",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | image-text-to-text | null | 4 | base_model:
- allura-org/Gemma-3-Glitter-12B
- ToastyPigeon/Gemma-3-Confetti-12B
- google/gemma-3-12b-it
- google/gemma-3-12b-pt
library_name: transformers
tags:
- mergekit
- merge | null | null | null | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.json",
"config.json",
"generation_config.json",
"mergekit_config.yml",
"model-00001-of-00005.safetensors",
"model-00002-of-00005.safetensors",
"model-00003-of-00005.safetensors",
"model-00004-of-00005.safetensors",
"model-00005-of-00005.safetensors",
"model.safetensors.index.json",
"modelcard_image.jpeg",
"modelcard_image2.jpeg",
"preprocessor_config.json",
"processor_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | null | null | null | 2025-03-28T04:45:20+00:00 | base_model:
- allura-org/Gemma-3-Glitter-12B
- ToastyPigeon/Gemma-3-Confetti-12B
- google/gemma-3-12b-it
- google/gemma-3-12b-pt
library_name: transformers
tags:
- mergekit
- merge | null | 67e4d20176291847e3984a3d | ToastyPigeon/Gemma-3-Starshine-12B |
Applied-Artificial-Intelligence-Eurecat/IMPETUS-Climate-bge-small | Applied-Artificial-Intelligence-Eurecat | 8a9e90be44dc642bb288af46e8d79d7fb4a239b4 | 2025-03-27T11:21:35+00:00 | 2025-03-27T09:58:13Z | false | False | null | 4 | null | 4 | sentence-transformers | null | null | null | [
"sentence-transformers",
"safetensors",
"bert",
"sentence-similarity",
"en",
"base_model:BAAI/bge-small-en-v1.5",
"base_model:finetune:BAAI/bge-small-en-v1.5",
"license:cc",
"autotrain_compatible",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | sentence-similarity | null | 4 | base_model:
- BAAI/bge-small-en-v1.5
language:
- en
library_name: sentence-transformers
license: cc
pipeline_tag: sentence-similarity
widget:
- source_sentence: How many video lectures were recorded during the first recording
session in October 2023?
sentences:
- The MOOC on climate change, developed through the IMPETUS project, targets a diverse
audience including policy professionals, development practitioners, and students,
aiming to enhance understanding of European climate policy and adaptation solutions.
It consists of five one-week modules featuring video lectures, readings, and assignments,
designed to cater to both beginners and advanced learners. The course was launched
on the edX platform, with pre-enrollment starting on August 15, 2024, and the
official launch on September 1, 2024. Key milestones in its development included
planning sessions, recording lectures in various locations, and finalizing the
course structure, all contributing to its long-term impact on climate education.
- The IMPETUS project employs a structured Communication, Collaboration , and Dissemination
(CCD) framework within its WP7 activities, divided into three phases. | null | null | null | null | [
".gitattributes",
"1_Pooling/config.json",
"README.md",
"config.json",
"config_sentence_transformers.json",
"model.safetensors",
"modules.json",
"sentence_bert_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | null | null | null | 2025-03-27T11:21:35+00:00 | base_model:
- BAAI/bge-small-en-v1.5
language:
- en
library_name: sentence-transformers
license: cc
pipeline_tag: sentence-similarity
widget:
- source_sentence: How many video lectures were recorded during the first recording
session in October 2023?
sentences:
- The MOOC on climate change, developed through the IMPETUS project, targets a diverse
audience including policy professionals, development practitioners, and students,
aiming to enhance understanding of European climate policy and adaptation solutions.
It consists of five one-week modules featuring video lectures, readings, and assignments,
designed to cater to both beginners and advanced learners. The course was launched
on the edX platform, with pre-enrollment starting on August 15, 2024, and the
official launch on September 1, 2024. Key milestones in its development included
planning sessions, recording lectures in various locations, and finalizing the
course structure, all contributing to its long-term impact on climate education.
- The IMPETUS project employs a structured Communication, Collaboration , and Dissemination
(CCD) framework within its WP7 activities, divided into three phases. | null | 67e521359b80b9df3839abbe | Applied-Artificial-Intelligence-Eurecat/IMPETUS-Climate-bge-small |
Remade-AI/Hulk-Transformation | Remade-AI | 4fbe91606db59092b53bb4a6a7fe733015f9f22c | 2025-03-27T23:20:26+00:00 | 2025-03-27T23:13:45Z | false | False | null | 93 | null | 4 | diffusers | null | null | null | [
"diffusers",
"text-to-image",
"lora",
"template:diffusion-lora",
"image-to-video",
"en",
"base_model:Wan-AI/Wan2.1-I2V-14B-480P",
"base_model:adapter:Wan-AI/Wan2.1-I2V-14B-480P",
"license:apache-2.0",
"region:us"
] | image-to-video | null | 4 | base_model:
- Wan-AI/Wan2.1-I2V-14B-480P
- Wan-AI/Wan2.1-I2V-14B-480P-Diffusers
language:
- en
license: apache-2.0
pipeline_tag: image-to-video
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- image-to-video
widget:
- text: The video shows a man looking forward. Slowly, the h01k green hulk transformation
begins. His muscles start to swell, veins bulge beneath his skin, and his face
tightens with strain. His skin gradually shifts to green as his body continues
to grow. His clothes begin to tear apart under the pressure. The transformation
completes as the Hulk emerges, standing tall and roaring.
output:
url: https://huggingface.co/Remade-AI/Hulk-Transformation/resolve/main/example_videos/1.mp4
- text: The video shows a small puppy standing on a concrete surface, looking upward.
Slowly, the h01k green hulk transformation begins. The puppy’s body expands, paws
grow massive, and its fur gradually shifts to a deep green. Its stance widens
as the transformation continues, and the ground beneath begins to crack slightly.
The puppy finishes fully transformed into a powerful, green hulking figure, while
still holding its playful pose.
output:
url: https://huggingface.co/Remade-AI/Hulk-Transformation/resolve/main/example_videos/2.mp4
- text: The video shows a man looking forward. Slowly, the h01k green hulk transformation
begins. His muscles start to swell, veins bulge beneath his skin, and his face
tightens with strain. His skin gradually shifts to green as his body continues
to grow. His clothes begin to tear apart under the pressure. The transformation
completes as the Hulk emerges, standing tall and roaring.
output:
url: https://huggingface.co/Remade-AI/Hulk-Transformation/resolve/main/example_videos/3.mp4
- text: The video shows an Asian man looking forward. Slowly, the h01k green hulk
transformation begins. His muscles start to swell, veins bulge beneath his skin,
and his face tightens with strain. His skin gradually shifts to green as his body
continues to grow. His clothes begin to tear apart under the pressure. The transformation
completes as the Hulk emerges, standing tall and roaring.
output:
url: https://huggingface.co/Remade-AI/Hulk-Transformation/resolve/main/example_videos/4.mp4 | null | null | null | null | [
".gitattributes",
"README.md",
"example_videos/1.mp4",
"example_videos/2.mp4",
"example_videos/3.mp4",
"example_videos/4.mp4",
"hulk_35_epochs.safetensors",
"workflow_I2V/wan_img2vid_lora_workflow.json",
"workflow_I2V/workflow_screenshot.png"
] | null | null | null | 2025-03-27T23:20:26+00:00 | base_model:
- Wan-AI/Wan2.1-I2V-14B-480P
- Wan-AI/Wan2.1-I2V-14B-480P-Diffusers
language:
- en
license: apache-2.0
pipeline_tag: image-to-video
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- image-to-video
widget:
- text: The video shows a man looking forward. Slowly, the h01k green hulk transformation
begins. His muscles start to swell, veins bulge beneath his skin, and his face
tightens with strain. His skin gradually shifts to green as his body continues
to grow. His clothes begin to tear apart under the pressure. The transformation
completes as the Hulk emerges, standing tall and roaring.
output:
url: https://huggingface.co/Remade-AI/Hulk-Transformation/resolve/main/example_videos/1.mp4
- text: The video shows a small puppy standing on a concrete surface, looking upward.
Slowly, the h01k green hulk transformation begins. The puppy’s body expands, paws
grow massive, and its fur gradually shifts to a deep green. Its stance widens
as the transformation continues, and the ground beneath begins to crack slightly.
The puppy finishes fully transformed into a powerful, green hulking figure, while
still holding its playful pose.
output:
url: https://huggingface.co/Remade-AI/Hulk-Transformation/resolve/main/example_videos/2.mp4
- text: The video shows a man looking forward. Slowly, the h01k green hulk transformation
begins. His muscles start to swell, veins bulge beneath his skin, and his face
tightens with strain. His skin gradually shifts to green as his body continues
to grow. His clothes begin to tear apart under the pressure. The transformation
completes as the Hulk emerges, standing tall and roaring.
output:
url: https://huggingface.co/Remade-AI/Hulk-Transformation/resolve/main/example_videos/3.mp4
- text: The video shows an Asian man looking forward. Slowly, the h01k green hulk
transformation begins. His muscles start to swell, veins bulge beneath his skin,
and his face tightens with strain. His skin gradually shifts to green as his body
continues to grow. His clothes begin to tear apart under the pressure. The transformation
completes as the Hulk emerges, standing tall and roaring.
output:
url: https://huggingface.co/Remade-AI/Hulk-Transformation/resolve/main/example_videos/4.mp4 | null | 67e5dba9319d199ea9ead059 | Remade-AI/Hulk-Transformation |
google-bert/bert-base-multilingual-cased | google-bert | 3f076fdb1ab68d5b2880cb87a0886f315b8146f8 | 2024-02-19T11:05:41+00:00 | 2022-03-02T23:29:04Z | false | False | null | 7,064,071 | null | 496 | transformers | null | loading | null | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"multilingual",
"af",
"sq",
"ar",
"an",
"hy",
"ast",
"az",
"ba",
"eu",
"bar",
"be",
"bn",
"inc",
"bs",
"br",
"bg",
"my",
"ca",
"ceb",
"ce",
"zh",
"cv",
"hr",
"cs",
"da",
"nl",
"en",
"et",
"fi",
"fr",
"gl",
"ka",
"de",
"el",
"gu",
"ht",
"he",
"hi",
"hu",
"is",
"io",
"id",
"ga",
"it",
"ja",
"jv",
"kn",
"kk",
"ky",
"ko",
"la",
"lv",
"lt",
"roa",
"nds",
"lm",
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"mg",
"ms",
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"mr",
"mn",
"min",
"ne",
"new",
"nb",
"nn",
"oc",
"fa",
"pms",
"pl",
"pt",
"pa",
"ro",
"ru",
"sco",
"sr",
"scn",
"sk",
"sl",
"aze",
"es",
"su",
"sw",
"sv",
"tl",
"tg",
"th",
"ta",
"tt",
"te",
"tr",
"uk",
"ud",
"uz",
"vi",
"vo",
"war",
"cy",
"fry",
"pnb",
"yo",
"dataset:wikipedia",
"arxiv:1810.04805",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | null | 3 | datasets:
- wikipedia
language:
- multilingual
- af
- sq
- ar
- an
- hy
- ast
- az
- ba
- eu
- bar
- be
- bn
- inc
- bs
- br
- bg
- my
- ca
- ceb
- ce
- zh
- cv
- hr
- cs
- da
- nl
- en
- et
- fi
- fr
- gl
- ka
- de
- el
- gu
- ht
- he
- hi
- hu
- is
- io
- id
- ga
- it
- ja
- jv
- kn
- kk
- ky
- ko
- la
- lv
- lt
- roa
- nds
- lm
- mk
- mg
- ms
- ml
- mr
- mn
- min
- ne
- new
- nb
- nn
- oc
- fa
- pms
- pl
- pt
- pa
- ro
- ru
- sco
- sr
- hr
- scn
- sk
- sl
- aze
- es
- su
- sw
- sv
- tl
- tg
- th
- ta
- tt
- te
- tr
- uk
- ud
- uz
- vi
- vo
- war
- cy
- fry
- pnb
- yo
license: apache-2.0 | null | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"flax_model.msgpack",
"model.safetensors",
"pytorch_model.bin",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | null | null | null | 2024-02-19T11:05:41+00:00 | datasets:
- wikipedia
language:
- multilingual
- af
- sq
- ar
- an
- hy
- ast
- az
- ba
- eu
- bar
- be
- bn
- inc
- bs
- br
- bg
- my
- ca
- ceb
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license: apache-2.0 | null | 621ffdc036468d709f174336 | google-bert/bert-base-multilingual-cased |
distilbert/distilbert-base-cased-distilled-squad | distilbert | 564e9b582944a57a3e586bbb98fd6f0a4118db7f | 2024-05-06T13:46:31+00:00 | 2022-03-02T23:29:04Z | false | False | null | 538,920 | null | 241 | transformers | null | cold | null | [
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"rust",
"safetensors",
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"arxiv:1910.09700",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | question-answering | null | 3 | datasets:
- squad
language: en
license: apache-2.0
metrics:
- squad
model-index:
- name: distilbert-base-cased-distilled-squad
results:
- task:
type: question-answering
name: Question Answering
dataset:
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type: squad
config: plain_text
split: validation
metrics:
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value: 79.5998
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"tfjs.tar.gz",
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] | null | null | null | 2024-05-06T13:46:31+00:00 | datasets:
- squad
language: en
license: apache-2.0
metrics:
- squad
model-index:
- name: distilbert-base-cased-distilled-squad
results:
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type: question-answering
name: Question Answering
dataset:
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type: squad
config: plain_text
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metrics:
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value: 79.5998
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value: 86.9965
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verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZWZlMzY2MmE1NDNhOGNjNWRmODg0YjQ2Zjk5MjUzZDQ2MDYxOTBlMTNhNzQ4NTA2NjRmNDU3MGIzMTYwMmUyOSIsInZlcnNpb24iOjF9.z0ZDir87aT7UEmUeDm8Uw0oUdAqzlBz343gwnsQP3YLfGsaHe-jGlhco0Z7ISUd9NokyCiJCRc4NNxJQ83IuCw | null | 621ffdc036468d709f174341 | distilbert/distilbert-base-cased-distilled-squad |
FacebookAI/xlm-roberta-base | FacebookAI | e73636d4f797dec63c3081bb6ed5c7b0bb3f2089 | 2024-02-19T12:48:21+00:00 | 2022-03-02T23:29:04Z | false | False | null | 11,462,444 | null | 654 | transformers | null | cold | null | [
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"arxiv:1911.02116",
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] | fill-mask | null | 3 | language:
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- am
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- az
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- bg
- bn
- br
- bs
- ca
- cs
- cy
- da
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license: mit
tags:
- exbert | null | null | null | null | [
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"tf_model.h5",
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"tokenizer_config.json"
] | null | null | null | 2024-02-19T12:48:21+00:00 | language:
- multilingual
- af
- am
- ar
- as
- az
- be
- bg
- bn
- br
- bs
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- vi
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license: mit
tags:
- exbert | null | 621ffdc036468d709f174364 | FacebookAI/xlm-roberta-base |
Helsinki-NLP/opus-mt-en-fr | Helsinki-NLP | dd7f6540a7a48a7f4db59e5c0b9c42c8eea67f18 | 2024-02-14T17:18:11+00:00 | 2022-03-02T23:29:04Z | false | False | null | 415,397 | null | 55 | transformers | null | null | null | [
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"pytorch",
"tf",
"jax",
"marian",
"text2text-generation",
"translation",
"en",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | null | 3 | license: apache-2.0
pipeline_tag: translation | null | null | null | null | [
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] | null | null | null | 2024-02-14T17:18:11+00:00 | license: apache-2.0
pipeline_tag: translation | null | 621ffdc036468d709f175967 | Helsinki-NLP/opus-mt-en-fr |
Salesforce/codet5-base | Salesforce | 02cd2d31bb7c6d0e4d91156167b2de044989c733 | 2025-01-21T09:32:20+00:00 | 2022-03-02T23:29:04Z | false | False | null | 33,553 | null | 121 | transformers | null | explicit-opt-out | null | [
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"t5",
"text2text-generation",
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"dataset:code_search_net",
"arxiv:2109.00859",
"arxiv:1909.09436",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | null | 3 | datasets:
- code_search_net
license: apache-2.0
tags:
- codet5
inference: false | null | null | null | null | [
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"README.md",
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"vocab.json"
] | null | null | null | 2025-01-21T09:32:20+00:00 | datasets:
- code_search_net
license: apache-2.0
tags:
- codet5
inference: false | null | 621ffdc036468d709f177390 | Salesforce/codet5-base |
cambridgeltl/SapBERT-from-PubMedBERT-fulltext | cambridgeltl | 090663c3ae57bf35ffe4d0d468a2a88d03051a4d | 2023-06-14T19:03:02+00:00 | 2022-03-02T23:29:05Z | false | False | null | 2,071,685 | null | 47 | transformers | null | null | null | [
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"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"feature-extraction",
"biomedical",
"lexical semantics",
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"science",
"embedding",
"entity linking",
"en",
"arxiv:2010.11784",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | feature-extraction | null | 3 | language:
- en
license: apache-2.0
tags:
- biomedical
- lexical semantics
- bionlp
- biology
- science
- embedding
- entity linking | null | null | null | null | [
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] | null | null | null | 2023-06-14T19:03:02+00:00 | language:
- en
license: apache-2.0
tags:
- biomedical
- lexical semantics
- bionlp
- biology
- science
- embedding
- entity linking | null | 621ffdc136468d709f179d64 | cambridgeltl/SapBERT-from-PubMedBERT-fulltext |
cross-encoder/ms-marco-MiniLM-L6-v2 | cross-encoder | fbf9045f293a58fa68636213c5e0cb8a2de5d45e | 2025-03-26T11:00:03+00:00 | 2022-03-02T23:29:05Z | false | False | null | 8,818,738 | null | 78 | sentence-transformers | null | null | null | [
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"text-classification",
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"license:apache-2.0",
"region:us"
] | text-ranking | null | 3 | base_model:
- cross-encoder/ms-marco-MiniLM-L12-v2
datasets:
- sentence-transformers/msmarco
language:
- en
library_name: sentence-transformers
license: apache-2.0
pipeline_tag: text-ranking
tags:
- transformers | null | null | null | null | [
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] | null | null | null | 2025-03-26T11:00:03+00:00 | base_model:
- cross-encoder/ms-marco-MiniLM-L12-v2
datasets:
- sentence-transformers/msmarco
language:
- en
library_name: sentence-transformers
license: apache-2.0
pipeline_tag: text-ranking
tags:
- transformers | null | 621ffdc136468d709f17a20e | cross-encoder/ms-marco-MiniLM-L6-v2 |
deepset/roberta-base-squad2 | deepset | adc3b06f79f797d1c575d5479d6f5efe54a9e3b4 | 2024-09-24T15:48:47+00:00 | 2022-03-02T23:29:05Z | false | False | null | 1,705,954 | null | 865 | transformers | null | warm | null | [
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"tf",
"jax",
"rust",
"safetensors",
"roberta",
"question-answering",
"en",
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"base_model:finetune:FacebookAI/roberta-base",
"license:cc-by-4.0",
"model-index",
"endpoints_compatible",
"region:us"
] | question-answering | null | 3 | base_model:
- FacebookAI/roberta-base
datasets:
- squad_v2
language: en
license: cc-by-4.0
model-index:
- name: deepset/roberta-base-squad2
results:
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type: question-answering
name: Question Answering
dataset:
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type: squad_v2
config: squad_v2
split: validation
metrics:
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value: 79.9309
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name: Question Answering
dataset:
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type: squad
config: plain_text
split: validation
metrics:
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name: Exact Match
verified: false
- type: f1
value: 91.841
name: F1
verified: false
- task:
type: question-answering
name: Question Answering
dataset:
name: adversarial_qa
type: adversarial_qa
config: adversarialQA
split: validation
metrics:
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verified: false
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value: 40.367
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verified: false
- task:
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name: Question Answering
dataset:
name: squad_adversarial
type: squad_adversarial
config: AddOneSent
split: validation
metrics:
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name: Exact Match
verified: false
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value: 84.469
name: F1
verified: false
- task:
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name: Question Answering
dataset:
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type: squadshifts
config: amazon
split: test
metrics:
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value: 69.924
name: Exact Match
verified: false
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value: 83.284
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verified: false
- task:
type: question-answering
name: Question Answering
dataset:
name: squadshifts new_wiki
type: squadshifts
config: new_wiki
split: test
metrics:
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value: 81.204
name: Exact Match
verified: false
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value: 90.595
name: F1
verified: false
- task:
type: question-answering
name: Question Answering
dataset:
name: squadshifts nyt
type: squadshifts
config: nyt
split: test
metrics:
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value: 82.931
name: Exact Match
verified: false
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value: 90.756
name: F1
verified: false
- task:
type: question-answering
name: Question Answering
dataset:
name: squadshifts reddit
type: squadshifts
config: reddit
split: test
metrics:
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value: 71.55
name: Exact Match
verified: false
- type: f1
value: 82.939
name: F1
verified: false | null | null | null | null | [
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datasets:
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language: en
license: cc-by-4.0
model-index:
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results:
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name: Question Answering
dataset:
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value: 11869
name: total
verified: true
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- task:
type: question-answering
name: Question Answering
dataset:
name: squad
type: squad
config: plain_text
split: validation
metrics:
- type: exact_match
value: 85.289
name: Exact Match
verified: false
- type: f1
value: 91.841
name: F1
verified: false
- task:
type: question-answering
name: Question Answering
dataset:
name: adversarial_qa
type: adversarial_qa
config: adversarialQA
split: validation
metrics:
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value: 29.5
name: Exact Match
verified: false
- type: f1
value: 40.367
name: F1
verified: false
- task:
type: question-answering
name: Question Answering
dataset:
name: squad_adversarial
type: squad_adversarial
config: AddOneSent
split: validation
metrics:
- type: exact_match
value: 78.567
name: Exact Match
verified: false
- type: f1
value: 84.469
name: F1
verified: false
- task:
type: question-answering
name: Question Answering
dataset:
name: squadshifts amazon
type: squadshifts
config: amazon
split: test
metrics:
- type: exact_match
value: 69.924
name: Exact Match
verified: false
- type: f1
value: 83.284
name: F1
verified: false
- task:
type: question-answering
name: Question Answering
dataset:
name: squadshifts new_wiki
type: squadshifts
config: new_wiki
split: test
metrics:
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value: 81.204
name: Exact Match
verified: false
- type: f1
value: 90.595
name: F1
verified: false
- task:
type: question-answering
name: Question Answering
dataset:
name: squadshifts nyt
type: squadshifts
config: nyt
split: test
metrics:
- type: exact_match
value: 82.931
name: Exact Match
verified: false
- type: f1
value: 90.756
name: F1
verified: false
- task:
type: question-answering
name: Question Answering
dataset:
name: squadshifts reddit
type: squadshifts
config: reddit
split: test
metrics:
- type: exact_match
value: 71.55
name: Exact Match
verified: false
- type: f1
value: 82.939
name: F1
verified: false | null | 621ffdc136468d709f17a5fd | deepset/roberta-base-squad2 |
ehcalabres/wav2vec2-lg-xlsr-en-speech-emotion-recognition | ehcalabres | b520c9c46a719e36e1b9a91cad2cb5d0668757d8 | 2024-10-24T13:29:57+00:00 | 2022-03-02T23:29:05Z | false | False | null | 67,561 | null | 210 | transformers | null | cold | null | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"wav2vec2",
"audio-classification",
"generated_from_trainer",
"doi:10.57967/hf/2045",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | audio-classification | null | 3 | license: apache-2.0
metrics:
- accuracy
tags:
- generated_from_trainer
model_index:
name: wav2vec2-lg-xlsr-en-speech-emotion-recognition | null | null | null | null | [
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] | null | null | null | 2024-10-24T13:29:57+00:00 | license: apache-2.0
metrics:
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tags:
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model_index:
name: wav2vec2-lg-xlsr-en-speech-emotion-recognition | null | 621ffdc136468d709f17a9e3 | ehcalabres/wav2vec2-lg-xlsr-en-speech-emotion-recognition |
emilyalsentzer/Bio_ClinicalBERT | emilyalsentzer | d5892b39a4adaed74b92212a44081509db72f87b | 2024-12-03T20:22:45+00:00 | 2022-03-02T23:29:05Z | false | False | null | 2,299,827 | null | 324 | transformers | null | null | null | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"en",
"arxiv:1904.03323",
"arxiv:1901.08746",
"license:mit",
"endpoints_compatible",
"region:us"
] | fill-mask | null | 3 | language: en
license: mit
tags:
- fill-mask | null | null | null | null | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"flax_model.msgpack",
"graph.pbtxt",
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"model.ckpt-150000.meta",
"pytorch_model.bin",
"tf_model.h5",
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] | null | null | null | 2024-12-03T20:22:45+00:00 | language: en
license: mit
tags:
- fill-mask | null | 621ffdc136468d709f17ab0d | emilyalsentzer/Bio_ClinicalBERT |
fse/word2vec-google-news-300 | fse | 528f381952a0b7d777bb4a611c4a43f588d48994 | 2021-12-02T16:46:03+00:00 | 2022-03-02T23:29:05Z | false | False | null | 0 | null | 46 | null | null | library-not-detected | null | [
"glove",
"gensim",
"fse",
"arxiv:1301.3781",
"arxiv:1310.4546",
"region:us"
] | null | null | 3 | tags:
- glove
- gensim
- fse | null | null | null | null | [
".gitattributes",
"README.md",
"word2vec-google-news-300.model",
"word2vec-google-news-300.model.vectors.npy"
] | null | null | null | 2021-12-02T16:46:03+00:00 | tags:
- glove
- gensim
- fse | null | 621ffdc136468d709f17b2d5 | fse/word2vec-google-news-300 |
j-hartmann/emotion-english-distilroberta-base | j-hartmann | 0e1cd914e3d46199ed785853e12b57304e04178b | 2023-01-02T13:03:10+00:00 | 2022-03-02T23:29:05Z | false | False | null | 812,220 | null | 392 | transformers | null | null | null | [
"transformers",
"pytorch",
"tf",
"roberta",
"text-classification",
"distilroberta",
"sentiment",
"emotion",
"twitter",
"reddit",
"en",
"arxiv:2210.00434",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | null | 3 | language: en
tags:
- distilroberta
- sentiment
- emotion
- twitter
- reddit
widget:
- text: Oh wow. I didn't know that.
- text: This movie always makes me cry..
- text: Oh Happy Day | null | null | null | null | [
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] | null | null | null | 2023-01-02T13:03:10+00:00 | language: en
tags:
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- sentiment
- emotion
- twitter
- reddit
widget:
- text: Oh wow. I didn't know that.
- text: This movie always makes me cry..
- text: Oh Happy Day | null | 621ffdc136468d709f17c9d0 | j-hartmann/emotion-english-distilroberta-base |
jonatasgrosman/wav2vec2-large-xlsr-53-english | jonatasgrosman | 569a6236e92bd5f7652a0420bfe9bb94c5664080 | 2023-03-25T10:56:55+00:00 | 2022-03-02T23:29:05Z | false | False | null | 11,123,181 | null | 470 | transformers | null | cold | null | [
"transformers",
"pytorch",
"jax",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"en",
"hf-asr-leaderboard",
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"doi:10.57967/hf/3569",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | null | 3 | datasets:
- common_voice
- mozilla-foundation/common_voice_6_0
language: en
license: apache-2.0
metrics:
- wer
- cer
tags:
- audio
- automatic-speech-recognition
- en
- hf-asr-leaderboard
- mozilla-foundation/common_voice_6_0
- robust-speech-event
- speech
- xlsr-fine-tuning-week
model-index:
- name: XLSR Wav2Vec2 English by Jonatas Grosman
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: Common Voice en
type: common_voice
args: en
metrics:
- type: wer
value: 19.06
name: Test WER
verified: false
- type: cer
value: 7.69
name: Test CER
verified: false
- type: wer
value: 14.81
name: Test WER (+LM)
verified: false
- type: cer
value: 6.84
name: Test CER (+LM)
verified: false
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: Robust Speech Event - Dev Data
type: speech-recognition-community-v2/dev_data
args: en
metrics:
- type: wer
value: 27.72
name: Dev WER
verified: false
- type: cer
value: 11.65
name: Dev CER
verified: false
- type: wer
value: 20.85
name: Dev WER (+LM)
verified: false
- type: cer
value: 11.01
name: Dev CER (+LM)
verified: false | null | null | null | null | [
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] | null | null | null | 2023-03-25T10:56:55+00:00 | datasets:
- common_voice
- mozilla-foundation/common_voice_6_0
language: en
license: apache-2.0
metrics:
- wer
- cer
tags:
- audio
- automatic-speech-recognition
- en
- hf-asr-leaderboard
- mozilla-foundation/common_voice_6_0
- robust-speech-event
- speech
- xlsr-fine-tuning-week
model-index:
- name: XLSR Wav2Vec2 English by Jonatas Grosman
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: Common Voice en
type: common_voice
args: en
metrics:
- type: wer
value: 19.06
name: Test WER
verified: false
- type: cer
value: 7.69
name: Test CER
verified: false
- type: wer
value: 14.81
name: Test WER (+LM)
verified: false
- type: cer
value: 6.84
name: Test CER (+LM)
verified: false
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: Robust Speech Event - Dev Data
type: speech-recognition-community-v2/dev_data
args: en
metrics:
- type: wer
value: 27.72
name: Dev WER
verified: false
- type: cer
value: 11.65
name: Dev CER
verified: false
- type: wer
value: 20.85
name: Dev WER (+LM)
verified: false
- type: cer
value: 11.01
name: Dev CER (+LM)
verified: false | null | 621ffdc136468d709f17cdb3 | jonatasgrosman/wav2vec2-large-xlsr-53-english |
microsoft/trocr-base-handwritten | microsoft | eaacaf452b06415df8f10bb6fad3a4c11e609406 | 2025-02-11T04:26:58+00:00 | 2022-03-02T23:29:05Z | false | False | null | 147,106 | null | 398 | transformers | null | cold | null | [
"transformers",
"pytorch",
"safetensors",
"vision-encoder-decoder",
"image-text-to-text",
"trocr",
"image-to-text",
"arxiv:2109.10282",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-to-text | null | 3 | license: mit
tags:
- trocr
- image-to-text
widget:
- src: https://fki.tic.heia-fr.ch/static/img/a01-122-02.jpg
example_title: Note 1
- src: https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSoolxi9yWGAT5SLZShv8vVd0bz47UWRzQC19fDTeE8GmGv_Rn-PCF1pP1rrUx8kOjA4gg&usqp=CAU
example_title: Note 2
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example_title: Note 3 | null | null | null | null | [
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"vocab.json"
] | null | null | null | 2025-02-11T04:26:58+00:00 | license: mit
tags:
- trocr
- image-to-text
widget:
- src: https://fki.tic.heia-fr.ch/static/img/a01-122-02.jpg
example_title: Note 1
- src: https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSoolxi9yWGAT5SLZShv8vVd0bz47UWRzQC19fDTeE8GmGv_Rn-PCF1pP1rrUx8kOjA4gg&usqp=CAU
example_title: Note 2
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example_title: Note 3 | null | 621ffdc136468d709f17df0f | microsoft/trocr-base-handwritten |
microsoft/trocr-small-printed | microsoft | 04e994ab854b0089d4929f48c2b4dbe2ce78a340 | 2024-05-27T20:13:39+00:00 | 2022-03-02T23:29:05Z | false | False | null | 30,325 | null | 39 | transformers | null | cold | null | [
"transformers",
"pytorch",
"safetensors",
"vision-encoder-decoder",
"image-text-to-text",
"trocr",
"image-to-text",
"arxiv:2109.10282",
"endpoints_compatible",
"region:us"
] | image-to-text | null | 3 | tags:
- trocr
- image-to-text
widget:
- src: https://layoutlm.blob.core.windows.net/trocr/dataset/SROIE2019Task2Crop/train/X00016469612_1.jpg
example_title: Printed 1
- src: https://layoutlm.blob.core.windows.net/trocr/dataset/SROIE2019Task2Crop/train/X51005255805_7.jpg
example_title: Printed 2
- src: https://layoutlm.blob.core.windows.net/trocr/dataset/SROIE2019Task2Crop/train/X51005745214_6.jpg
example_title: Printed 3 | null | null | null | null | [
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"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer_config.json"
] | null | null | null | 2024-05-27T20:13:39+00:00 | tags:
- trocr
- image-to-text
widget:
- src: https://layoutlm.blob.core.windows.net/trocr/dataset/SROIE2019Task2Crop/train/X00016469612_1.jpg
example_title: Printed 1
- src: https://layoutlm.blob.core.windows.net/trocr/dataset/SROIE2019Task2Crop/train/X51005255805_7.jpg
example_title: Printed 2
- src: https://layoutlm.blob.core.windows.net/trocr/dataset/SROIE2019Task2Crop/train/X51005745214_6.jpg
example_title: Printed 3 | null | 621ffdc136468d709f17df16 | microsoft/trocr-small-printed |
mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis | mrm8488 | ae0eab9ad336d7d548e0efe394b07c04bcaf6e91 | 2024-01-21T15:17:58+00:00 | 2022-03-02T23:29:05Z | false | False | null | 471,900 | null | 383 | transformers | null | cold | null | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"financial",
"stocks",
"sentiment",
"dataset:financial_phrasebank",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | null | 3 | datasets:
- financial_phrasebank
license: apache-2.0
metrics:
- accuracy
tags:
- generated_from_trainer
- financial
- stocks
- sentiment
thumbnail: https://huggingface.co/mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis/resolve/main/logo_no_bg.png
widget:
- text: Operating profit totaled EUR 9.4 mn , down from EUR 11.7 mn in 2004 .
model-index:
- name: distilRoberta-financial-sentiment
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: financial_phrasebank
type: financial_phrasebank
args: sentences_allagree
metrics:
- type: accuracy
value: 0.9823008849557522
name: Accuracy
verified: false | null | null | null | null | [
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] | null | null | null | 2024-01-21T15:17:58+00:00 | datasets:
- financial_phrasebank
license: apache-2.0
metrics:
- accuracy
tags:
- generated_from_trainer
- financial
- stocks
- sentiment
thumbnail: https://huggingface.co/mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis/resolve/main/logo_no_bg.png
widget:
- text: Operating profit totaled EUR 9.4 mn , down from EUR 11.7 mn in 2004 .
model-index:
- name: distilRoberta-financial-sentiment
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: financial_phrasebank
type: financial_phrasebank
args: sentences_allagree
metrics:
- type: accuracy
value: 0.9823008849557522
name: Accuracy
verified: false | null | 621ffdc136468d709f17e2c1 | mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis |
nlpconnect/vit-gpt2-image-captioning | nlpconnect | dc68f91c06a1ba6f15268e5b9c13ae7a7c514084 | 2023-02-27T15:00:09+00:00 | 2022-03-02T23:29:05Z | false | False | null | 1,893,727 | null | 881 | transformers | null | null | null | [
"transformers",
"pytorch",
"vision-encoder-decoder",
"image-text-to-text",
"image-to-text",
"image-captioning",
"doi:10.57967/hf/0222",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-to-text | null | 3 | license: apache-2.0
tags:
- image-to-text
- image-captioning
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/savanna.jpg
example_title: Savanna
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/football-match.jpg
example_title: Football Match
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/airport.jpg
example_title: Airport | null | null | null | null | [
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"README.md",
"config.json",
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"preprocessor_config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | null | null | null | 2023-02-27T15:00:09+00:00 | license: apache-2.0
tags:
- image-to-text
- image-captioning
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/savanna.jpg
example_title: Savanna
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/football-match.jpg
example_title: Football Match
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/airport.jpg
example_title: Airport | null | 621ffdc136468d709f17e81a | nlpconnect/vit-gpt2-image-captioning |
oliverguhr/fullstop-punctuation-multilang-large | oliverguhr | 345e80adc07e761d3a35feafd20f2f44a151f453 | 2023-11-16T09:35:35+00:00 | 2022-03-02T23:29:05Z | false | False | null | 313,557 | null | 162 | transformers | null | cold | null | [
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"pytorch",
"tf",
"onnx",
"safetensors",
"xlm-roberta",
"token-classification",
"punctuation prediction",
"punctuation",
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"de",
"fr",
"it",
"multilingual",
"dataset:wmt/europarl",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | null | 3 | datasets: wmt/europarl
language:
- en
- de
- fr
- it
- multilingual
license: mit
metrics:
- f1
tags:
- punctuation prediction
- punctuation
widget:
- text: Ho sentito che ti sei laureata il che mi fa molto piacere
example_title: Italian
- text: Tous les matins vers quatre heures mon père ouvrait la porte de ma chambre
example_title: French
- text: Ist das eine Frage Frau Müller
example_title: German
- text: Yet she blushed as if with guilt when Cynthia reading her thoughts said to
her one day Molly you're very glad to get rid of us are not you
example_title: English | null | null | null | null | [
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] | null | null | null | 2023-11-16T09:35:35+00:00 | datasets: wmt/europarl
language:
- en
- de
- fr
- it
- multilingual
license: mit
metrics:
- f1
tags:
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- punctuation
widget:
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example_title: Italian
- text: Tous les matins vers quatre heures mon père ouvrait la porte de ma chambre
example_title: French
- text: Ist das eine Frage Frau Müller
example_title: German
- text: Yet she blushed as if with guilt when Cynthia reading her thoughts said to
her one day Molly you're very glad to get rid of us are not you
example_title: English | null | 621ffdc136468d709f17ea0c | oliverguhr/fullstop-punctuation-multilang-large |
sentence-transformers/paraphrase-MiniLM-L6-v2 | sentence-transformers | c9a2bfebc254878aee8c3aca9e6844d5bbb102d1 | 2025-03-06T13:26:35+00:00 | 2022-03-02T23:29:05Z | false | False | null | 6,372,656 | null | 121 | sentence-transformers | null | null | null | [
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"pytorch",
"tf",
"onnx",
"safetensors",
"openvino",
"bert",
"feature-extraction",
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"arxiv:1908.10084",
"license:apache-2.0",
"autotrain_compatible",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | sentence-similarity | null | 3 | library_name: sentence-transformers
license: apache-2.0
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers | null | null | null | null | [
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license: apache-2.0
pipeline_tag: sentence-similarity
tags:
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- transformers | null | 621ffdc136468d709f1802e5 | sentence-transformers/paraphrase-MiniLM-L6-v2 |
unitary/toxic-bert | unitary | 4d6c22e74ba2fdd26bc4f7238f50766b045a0d94 | 2024-03-13T17:41:49+00:00 | 2022-03-02T23:29:05Z | false | False | null | 677,409 | null | 167 | transformers | null | warm | null | [
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"arxiv:1703.04009",
"arxiv:1905.12516",
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"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | null | 3 | license: apache-2.0 | null | null | null | null | [
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] | null | null | null | 2024-03-13T17:41:49+00:00 | license: apache-2.0 | null | 621ffdc136468d709f18127f | unitary/toxic-bert |
EleutherAI/gpt-neox-20b | EleutherAI | c292233c833e336628618a88a648727eb3dff0a7 | 2024-01-31T20:30:35+00:00 | 2022-04-07T20:28:29Z | false | False | null | 32,362 | null | 558 | transformers | null | loading | null | [
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"pytorch",
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"text-generation",
"causal-lm",
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"dataset:EleutherAI/pile",
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"arxiv:2104.09864",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | null | 3 | datasets:
- EleutherAI/pile
language:
- en
license: apache-2.0
tags:
- pytorch
- causal-lm | null | null | null | null | [
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"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | null | null | null | 2024-01-31T20:30:35+00:00 | datasets:
- EleutherAI/pile
language:
- en
license: apache-2.0
tags:
- pytorch
- causal-lm | null | 624f496dbcbeb0d535f47bcf | EleutherAI/gpt-neox-20b |
openai/clip-vit-large-patch14-336 | openai | ce19dc912ca5cd21c8a653c79e251e808ccabcd1 | 2022-10-04T09:41:39+00:00 | 2022-04-22T14:57:43Z | false | False | null | 4,670,395 | null | 234 | transformers | null | null | null | [
"transformers",
"pytorch",
"tf",
"clip",
"zero-shot-image-classification",
"generated_from_keras_callback",
"endpoints_compatible",
"region:us"
] | zero-shot-image-classification | null | 3 | tags:
- generated_from_keras_callback
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-dog-music.png
candidate_labels: playing music, playing sports
example_title: Cat & Dog
model-index:
- name: clip-vit-large-patch14-336
results: [] | null | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
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"pytorch_model.bin",
"special_tokens_map.json",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | null | null | null | 2022-10-04T09:41:39+00:00 | tags:
- generated_from_keras_callback
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-dog-music.png
candidate_labels: playing music, playing sports
example_title: Cat & Dog
model-index:
- name: clip-vit-large-patch14-336
results: [] | null | 6262c267cbebf7e1ac29e364 | openai/clip-vit-large-patch14-336 |
jonathandinu/face-parsing | jonathandinu | 13e2694f59bd148d637320c3f6ce37c4b9b6db03 | 2024-01-29T16:18:34+00:00 | 2022-07-06T01:22:42Z | false | False | null | 721,155 | null | 154 | transformers | null | cold | null | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"segformer",
"vision",
"image-segmentation",
"nvidia/mit-b5",
"transformers.js",
"en",
"dataset:celebamaskhq",
"arxiv:2105.15203",
"endpoints_compatible",
"region:us"
] | image-segmentation | null | 3 | datasets:
- celebamaskhq
language: en
library_name: transformers
tags:
- vision
- image-segmentation
- nvidia/mit-b5
- transformers.js
- onnx | null | null | null | null | [
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"README.md",
"config.json",
"demo.png",
"model.safetensors",
"onnx/model.onnx",
"onnx/model_quantized.onnx",
"preprocessor_config.json",
"pytorch_model.bin",
"quantize_config.json"
] | null | null | null | 2024-01-29T16:18:34+00:00 | datasets:
- celebamaskhq
language: en
library_name: transformers
tags:
- vision
- image-segmentation
- nvidia/mit-b5
- transformers.js
- onnx | null | 62c4e3e2143622c927980efc | jonathandinu/face-parsing |
CompVis/stable-diffusion-v-1-4-original | CompVis | f0bb45b49990512c454cf2c5670b0952ef2f9c71 | 2022-11-09T13:22:34+00:00 | 2022-08-20T08:42:51Z | false | False | null | 9 | null | 2,785 | stable-diffusion | null | explicit-opt-out | null | [
"stable-diffusion",
"text-to-image",
"arxiv:2207.12598",
"arxiv:2112.10752",
"arxiv:2103.00020",
"arxiv:2205.11487",
"arxiv:1910.09700",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | null | 3 | library_name: stable-diffusion
license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
inference: false
extra_gated_prompt: "One more step before getting this model.\nThis model is open\
\ access and available to all, with a CreativeML OpenRAIL-M license further specifying\
\ rights and usage.\nThe CreativeML OpenRAIL License specifies: \n\n1. You can't\
\ use the model to deliberately produce nor share illegal or harmful outputs or\
\ content \n2. CompVis claims no rights on the outputs you generate, you are free\
\ to use them and are accountable for their use which must not go against the provisions\
\ set in the license\n3. You may re-distribute the weights and use the model commercially\
\ and/or as a service. If you do, please be aware you have to include the same use\
\ restrictions as the ones in the license and share a copy of the CreativeML OpenRAIL-M\
\ to all your users (please read the license entirely and carefully)\nPlease read\
\ the full license here: https://huggingface.co/spaces/CompVis/stable-diffusion-license\n\
\nBy clicking on \"Access repository\" below, you accept that your *contact information*\
\ (email address and username) can be shared with the model authors as well.\n "
extra_gated_fields:
I have read the License and agree with its terms: checkbox | null | null | null | null | [
".gitattributes",
"README.md",
"sd-v1-4-full-ema.ckpt",
"sd-v1-4.ckpt",
"v1-variants-scores.jpg"
] | null | null | null | 2022-11-09T13:22:34+00:00 | library_name: stable-diffusion
license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
inference: false
extra_gated_prompt: "One more step before getting this model.\nThis model is open\
\ access and available to all, with a CreativeML OpenRAIL-M license further specifying\
\ rights and usage.\nThe CreativeML OpenRAIL License specifies: \n\n1. You can't\
\ use the model to deliberately produce nor share illegal or harmful outputs or\
\ content \n2. CompVis claims no rights on the outputs you generate, you are free\
\ to use them and are accountable for their use which must not go against the provisions\
\ set in the license\n3. You may re-distribute the weights and use the model commercially\
\ and/or as a service. If you do, please be aware you have to include the same use\
\ restrictions as the ones in the license and share a copy of the CreativeML OpenRAIL-M\
\ to all your users (please read the license entirely and carefully)\nPlease read\
\ the full license here: https://huggingface.co/spaces/CompVis/stable-diffusion-license\n\
\nBy clicking on \"Access repository\" below, you accept that your *contact information*\
\ (email address and username) can be shared with the model authors as well.\n "
extra_gated_fields:
I have read the License and agree with its terms: checkbox | null | 63009e8b79c5ddbc6cf69877 | CompVis/stable-diffusion-v-1-4-original |
google/flan-t5-small | google | 0fc9ddf78a1e988dac52e2dac162b0ede4fd74ab | 2023-10-10T18:01:54+00:00 | 2022-10-21T09:59:24Z | false | False | null | 594,194 | null | 327 | transformers | null | null | null | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"t5",
"text2text-generation",
"en",
"fr",
"ro",
"de",
"multilingual",
"dataset:svakulenk0/qrecc",
"dataset:taskmaster2",
"dataset:djaym7/wiki_dialog",
"dataset:deepmind/code_contests",
"dataset:lambada",
"dataset:gsm8k",
"dataset:aqua_rat",
"dataset:esnli",
"dataset:quasc",
"dataset:qed",
"arxiv:2210.11416",
"arxiv:1910.09700",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text2text-generation | null | 3 | datasets:
- svakulenk0/qrecc
- taskmaster2
- djaym7/wiki_dialog
- deepmind/code_contests
- lambada
- gsm8k
- aqua_rat
- esnli
- quasc
- qed
language:
- en
- fr
- ro
- de
- multilingual
license: apache-2.0
tags:
- text2text-generation
widget:
- text: 'Translate to German: My name is Arthur'
example_title: Translation
- text: Please answer to the following question. Who is going to be the next Ballon
d'or?
example_title: Question Answering
- text: 'Q: Can Geoffrey Hinton have a conversation with George Washington? Give the
rationale before answering.'
example_title: Logical reasoning
- text: Please answer the following question. What is the boiling point of Nitrogen?
example_title: Scientific knowledge
- text: Answer the following yes/no question. Can you write a whole Haiku in a single
tweet?
example_title: Yes/no question
- text: Answer the following yes/no question by reasoning step-by-step. Can you write
a whole Haiku in a single tweet?
example_title: Reasoning task
- text: 'Q: ( False or not False or False ) is? A: Let''s think step by step'
example_title: Boolean Expressions
- text: The square root of x is the cube root of y. What is y to the power of 2, if
x = 4?
example_title: Math reasoning
- text: 'Premise: At my age you will probably have learnt one lesson. Hypothesis: It''s
not certain how many lessons you''ll learn by your thirties. Does the premise
entail the hypothesis?'
example_title: Premise and hypothesis | null | null | null | null | [
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"spiece.model",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json"
] | null | null | null | 2023-10-10T18:01:54+00:00 | datasets:
- svakulenk0/qrecc
- taskmaster2
- djaym7/wiki_dialog
- deepmind/code_contests
- lambada
- gsm8k
- aqua_rat
- esnli
- quasc
- qed
language:
- en
- fr
- ro
- de
- multilingual
license: apache-2.0
tags:
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widget:
- text: 'Translate to German: My name is Arthur'
example_title: Translation
- text: Please answer to the following question. Who is going to be the next Ballon
d'or?
example_title: Question Answering
- text: 'Q: Can Geoffrey Hinton have a conversation with George Washington? Give the
rationale before answering.'
example_title: Logical reasoning
- text: Please answer the following question. What is the boiling point of Nitrogen?
example_title: Scientific knowledge
- text: Answer the following yes/no question. Can you write a whole Haiku in a single
tweet?
example_title: Yes/no question
- text: Answer the following yes/no question by reasoning step-by-step. Can you write
a whole Haiku in a single tweet?
example_title: Reasoning task
- text: 'Q: ( False or not False or False ) is? A: Let''s think step by step'
example_title: Boolean Expressions
- text: The square root of x is the cube root of y. What is y to the power of 2, if
x = 4?
example_title: Math reasoning
- text: 'Premise: At my age you will probably have learnt one lesson. Hypothesis: It''s
not certain how many lessons you''ll learn by your thirties. Does the premise
entail the hypothesis?'
example_title: Premise and hypothesis | null | 63526d7c7e4cc3135fd0f17c | google/flan-t5-small |
google/switch-c-2048 | google | 14b5b82ddcfdc5ba384a8dcf2e17c1af0df90667 | 2024-01-11T03:52:57+00:00 | 2022-11-04T10:32:46Z | false | False | null | 127 | null | 288 | transformers | null | explicit-opt-out | null | [
"transformers",
"pytorch",
"switch_transformers",
"text2text-generation",
"en",
"dataset:c4",
"arxiv:2101.03961",
"arxiv:1910.09700",
"license:apache-2.0",
"region:us"
] | text2text-generation | null | 3 | datasets:
- c4
language:
- en
license: apache-2.0
tags:
- text2text-generation
widget:
- text: The <extra_id_0> walks in <extra_id_1> park
example_title: Masked Language Modeling
inference: false | null | null | null | null | [
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"pytorch_model.bin.index.json",
"special_tokens_map.json",
"spiece.model",
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] | null | null | null | 2024-01-11T03:52:57+00:00 | datasets:
- c4
language:
- en
license: apache-2.0
tags:
- text2text-generation
widget:
- text: The <extra_id_0> walks in <extra_id_1> park
example_title: Masked Language Modeling
inference: false | null | 6364ea4e4f773b7e4ced99e3 | google/switch-c-2048 |
trpakov/vit-face-expression | trpakov | ef0bc6fc34241b6587e7e009e7711357be28c024 | 2025-02-20T13:24:56+00:00 | 2022-11-09T12:50:30Z | false | False | null | 12,382,556 | null | 62 | transformers | null | null | null | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"vit",
"image-classification",
"doi:10.57967/hf/2289",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | null | 3 | license: apache-2.0 | null | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"onnx/config.json",
"onnx/model.onnx",
"onnx/preprocessor_config.json",
"preprocessor_config.json",
"pytorch_model.bin"
] | null | null | null | 2025-02-20T13:24:56+00:00 | license: apache-2.0 | null | 636ba21627eb5f3ff38eee7f | trpakov/vit-face-expression |
m-a-p/music2vec-v1 | m-a-p | 9f56775f206ce646b400ff20c49cc0622d84f7d6 | 2023-06-02T13:46:22+00:00 | 2022-11-25T01:28:53Z | false | False | null | 3,064 | null | 41 | transformers | null | explicit-opt-out | null | [
"transformers",
"pytorch",
"data2vec-audio",
"feature-extraction",
"music",
"arxiv:2212.02508",
"license:cc-by-nc-4.0",
"region:us"
] | feature-extraction | null | 3 | license: cc-by-nc-4.0
tags:
- music
inference: false | null | null | null | null | [
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tags:
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inference: false | null | 63801a5554b1953f533f9b91 | m-a-p/music2vec-v1 |
lj1995/VoiceConversionWebUI | lj1995 | 88e42f0cb3662ddc0dd263a4814206ce96d53214 | 2023-12-26T17:10:52+00:00 | 2023-01-12T16:12:13Z | false | False | null | 0 | null | 1,062 | null | null | null | null | [
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Salesforce/blip2-opt-2.7b | Salesforce | 59a1ef6c1e5117b3f65523d1c6066825bcf315e3 | 2025-02-03T06:27:50+00:00 | 2023-02-06T16:21:49Z | false | False | null | 570,342 | null | 349 | transformers | null | cold | null | [
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] | image-text-to-text | null | 3 | language: en
license: mit
pipeline_tag: image-text-to-text
tags:
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- image-to-text
- image-captioning
- visual-question-answering | null | null | null | null | [
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facebook/sam-vit-huge | facebook | 87aecf0df4ce6b30cd7de76e87673c49644bdf67 | 2024-01-11T19:23:32+00:00 | 2023-04-10T13:51:24Z | false | False | null | 186,608 | null | 156 | transformers | null | null | null | [
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"arxiv:2304.02643",
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] | mask-generation | null | 3 | license: apache-2.0
tags:
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] | null | null | null | 2024-01-11T19:23:32+00:00 | license: apache-2.0
tags:
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comfyanonymous/ControlNet-v1-1_fp16_safetensors | comfyanonymous | ab830a51c5c573a5b85bfdbaa3ae0ab7e1baf5f7 | 2023-08-29T23:28:24+00:00 | 2023-04-13T14:15:34Z | false | False | null | 0 | null | 456 | null | null | library-not-detected | null | [
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bigcode/starcoder | bigcode | 827cd7721231872c152e3faef5cae1b22964ed58 | 2024-10-08T20:53:18+00:00 | 2023-04-24T12:36:52Z | false | auto | null | 16,693 | null | 2,867 | transformers | null | null | null | [
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] | text-generation | null | 3 | datasets:
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library_name: transformers
license: bigcode-openrail-m
metrics:
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pipeline_tag: text-generation
tags:
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inference: true
widget:
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group: Python
extra_gated_prompt: "## Model License Agreement\nPlease read the BigCode [OpenRAIL-M\
\ license](https://huggingface.co/spaces/bigcode/bigcode-model-license-agreement)\
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extra_gated_fields:
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: checkbox
model-index:
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results:
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value: 0.3229
name: pass@1
verified: false | null | null | null | null | [
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] | null | null | null | 2024-10-08T20:53:18+00:00 | datasets:
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library_name: transformers
license: bigcode-openrail-m
metrics:
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pipeline_tag: text-generation
tags:
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inference: true
widget:
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group: Python
extra_gated_prompt: "## Model License Agreement\nPlease read the BigCode [OpenRAIL-M\
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: checkbox
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dataset:
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name: pass@1
verified: false | null | 644677e41173e85ac7f10745 | bigcode/starcoder |
lxyuan/distilbert-base-multilingual-cased-sentiments-student | lxyuan | cf991100d706c13c0a080c097134c05b7f436c45 | 2025-03-03T02:06:53+00:00 | 2023-05-05T16:22:55Z | false | False | null | 741,872 | null | 280 | transformers | null | null | null | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"distilbert",
"text-classification",
"sentiment-analysis",
"zero-shot-distillation",
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"de",
"es",
"fr",
"ja",
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"ms",
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"doi:10.57967/hf/1422",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | null | 3 | datasets:
- tyqiangz/multilingual-sentiments
language:
- en
- ar
- de
- es
- fr
- ja
- zh
- id
- hi
- it
- ms
- pt
license: apache-2.0
tags:
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- text-classification
- zero-shot-distillation
- distillation
- zero-shot-classification
- debarta-v3
model-index:
- name: distilbert-base-multilingual-cased-sentiments-student
results: [] | null | null | null | null | [
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] | null | null | null | 2025-03-03T02:06:53+00:00 | datasets:
- tyqiangz/multilingual-sentiments
language:
- en
- ar
- de
- es
- fr
- ja
- zh
- id
- hi
- it
- ms
- pt
license: apache-2.0
tags:
- sentiment-analysis
- text-classification
- zero-shot-distillation
- distillation
- zero-shot-classification
- debarta-v3
model-index:
- name: distilbert-base-multilingual-cased-sentiments-student
results: [] | null | 64552d5fd55525a4fee98c2a | lxyuan/distilbert-base-multilingual-cased-sentiments-student |
gouthaml/raos-virtual-try-on-model | gouthaml | 3adce8da2c3863425426129e93b57c168c94b560 | 2023-06-08T20:28:42+00:00 | 2023-05-18T06:34:23Z | false | False | null | 590 | null | 39 | diffusers | null | not-popular-enough | null | [
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"safetensors",
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"stable-diffusion",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | null | 3 | license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion | null | null | null | null | [
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] | null | null | null | 2023-06-08T20:28:42+00:00 | license: creativeml-openrail-m
tags:
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- stable-diffusion | null | 6465c6ef9c627c78f8611959 | gouthaml/raos-virtual-try-on-model |
moka-ai/m3e-base | moka-ai | 764b537a0e50e5c7d64db883f2d2e051cbe3c64c | 2023-07-14T02:29:36+00:00 | 2023-06-06T02:28:47Z | false | False | null | 135,828 | null | 931 | sentence-transformers | null | pipeline-not-detected | null | [
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"pytorch",
"safetensors",
"bert",
"embedding",
"text-embedding",
"zh",
"en",
"region:us"
] | null | null | 3 | language:
- zh
- en
library_name: sentence-transformers
tags:
- embedding
- text-embedding | null | null | null | null | [
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] | null | null | null | 2023-07-14T02:29:36+00:00 | language:
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- en
library_name: sentence-transformers
tags:
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- text-embedding | null | 647e99df10b7a3b157196811 | moka-ai/m3e-base |
monster-labs/control_v1p_sd15_qrcode_monster | monster-labs | 560fb7b15d0badb409f8cd578a2bfe63bd4b8046 | 2023-07-21T11:35:31+00:00 | 2023-06-24T15:07:20Z | false | False | null | 112,250 | null | 1,396 | diffusers | null | pipeline-not-detected | null | [
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] | null | null | 3 | language:
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license: openrail++
tags:
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pipeline_tag: text-to-3d
tags:
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pipeline_tag: text-to-3d
tags:
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- diffusers | null | 64a41dcf927c1e320e90c194 | openai/shap-e |
meta-llama/Llama-2-7b-chat | meta-llama | 617522e5466cec3391aac2de97f4f9d5672ed05b | 2024-04-17T08:14:00+00:00 | 2023-07-09T07:35:35Z | false | manual | null | 0 | null | 579 | null | null | null | null | [
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] | text-generation | null | 3 | language:
- en
license: llama2
pipeline_tag: text-generation
tags:
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- meta
- pytorch
- llama
- llama-2
extra_gated_heading: You need to share contact information with Meta to access this
model
extra_gated_prompt: "### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\"Agreement\" means\
\ the terms and conditions for use, reproduction, distribution and modification\
\ of the Llama Materials set forth herein. \n\"Documentation\" means the specifications,\
\ manuals and documentation accompanying Llama 2 distributed by Meta at https://ai.meta.com/resources/models-and-libraries/llama-downloads/.\
\ \n\"Licensee\" or \"you\" means you, or your employer or any other person or\
\ entity (if you are entering into this Agreement on such person or entity's behalf),\
\ of the age required under applicable laws, rules or regulations to provide legal\
\ consent and that has legal authority to bind your employer or such other person\
\ or entity if you are entering in this Agreement on their behalf. \n\"Llama 2\"\
\ means the foundational large language models and software and algorithms, including\
\ machine-learning model code, trained model weights, inference-enabling code, training-enabling\
\ code, fine-tuning enabling code and other elements of the foregoing distributed\
\ by Meta at ai.meta.com/resources/models-and-libraries/llama-downloads/.\n\"Llama\
\ Materials\" means, collectively, Meta's proprietary Llama 2 and documentation\
\ (and any portion thereof) made available under this Agreement.\n\"Meta\" or \"\
we\" means Meta Platforms Ireland Limited (if you are located in or, if you are\
\ an entity, your principal place of business is in the EEA or Switzerland) and\
\ Meta Platforms, Inc. (if you are located outside of the EEA or Switzerland). \n\
\nBy clicking \"I Accept\" below or by using or distributing any portion or element\
\ of the Llama Materials, you agree to be bound by this Agreement.\n1. License Rights\
\ and Redistribution. \na. Grant of Rights. You are granted a non-exclusive, worldwide,\
\ non- transferable and royalty-free limited license under Meta's intellectual property\
\ or other rights owned by Meta embodied in the Llama Materials to use, reproduce,\
\ distribute, copy, create derivative works of, and make modifications to the Llama\
\ Materials. \nb. Redistribution and Use.\ni. If you distribute or make the Llama\
\ Materials, or any derivative works thereof, available to a third party, you shall\
\ provide a copy of this Agreement to such third party. \nii. If you receive Llama\
\ Materials, or any derivative works thereof, from a Licensee as part of an integrated\
\ end user product, then Section 2 of this Agreement will not apply to you. \n\
iii. You must retain in all copies of the Llama Materials that you distribute the\
\ following attribution notice within a \"Notice\" text file distributed as a part\
\ of such copies: \"Llama 2 is licensed under the LLAMA 2 Community License, Copyright\
\ (c) Meta Platforms, Inc. All Rights Reserved.\"\niv. Your use of the Llama Materials\
\ must comply with applicable laws and regulations (including trade compliance\
\ laws and regulations) and adhere to the Acceptable Use Policy for the Llama Materials\
\ (available at https://ai.meta.com/llama/use-policy), which is hereby incorporated\
\ by reference into this Agreement.\nv. You will not use the Llama Materials or\
\ any output or results of the Llama Materials to improve any other large language\
\ model (excluding Llama 2 or derivative works thereof). \n\n2. Additional Commercial\
\ Terms. If, on the Llama 2 version release date, the monthly active users of the\
\ products or services made available by or for Licensee, or Licensee's affiliates,\
\ is greater than 700 million monthly active users in the preceding calendar month,\
\ you must request a license from Meta, which Meta may grant to you in its sole\
\ discretion, and you are not authorized to exercise any of the rights under this\
\ Agreement unless or until Meta otherwise expressly grants you such rights.\n\
3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS\
\ AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN \"AS IS\" BASIS, WITHOUT\
\ WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, WITHOUT LIMITATION,\
\ ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A\
\ PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS\
\ OF USING OR REDISTRIBUTING THE LLAMA MATERIALS AND ASSUME ANY RISKS ASSOCIATED\
\ WITH YOUR USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS.\n4. Limitation\
\ of Liability. IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY\
\ OF LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE,\
\ ARISING OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL,\
\ CONSEQUENTIAL, INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS\
\ AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING.\n\n\
5. Intellectual Property.\na. No trademark licenses are granted under this Agreement,\
\ and in connection with the Llama Materials, neither Meta nor Licensee may use\
\ any name or mark owned by or associated with the other or any of its affiliates,\
\ except as required for reasonable and customary use in describing and redistributing\
\ the Llama Materials.\nb. Subject to Meta's ownership of Llama Materials and derivatives\
\ made by or for Meta, with respect to any derivative works and modifications of\
\ the Llama Materials that are made by you, as between you and Meta, you are and\
\ will be the owner of such derivative works and modifications.\nc. If you institute\
\ litigation or other proceedings against Meta or any entity (including a cross-claim\
\ or counterclaim in a lawsuit) alleging that the Llama Materials or Llama 2 outputs\
\ or results, or any portion of any of the foregoing, constitutes infringement\
\ of intellectual property or other rights owned or licensable by you, then any\
\ licenses granted to you under this Agreement shall terminate as of the date such\
\ litigation or claim is filed or instituted. You will indemnify and hold harmless\
\ Meta from and against any claim by any third party arising out of or related \
\ to your use or distribution of the Llama Materials.\n6. Term and Termination.\
\ The term of this Agreement will commence upon your acceptance of this Agreement\
\ or access to the Llama Materials and will continue in full force and effect until\
\ terminated in accordance with the terms and conditions herein. Meta may terminate\
\ this Agreement if you are in breach of any term or condition of this Agreement.\
\ Upon termination of this Agreement, you shall delete and cease use of the Llama\
\ Materials. Sections 3, 4 and 7 shall survive the termination of this Agreement.\
\ \n7. Governing Law and Jurisdiction. This Agreement will be governed and construed\
\ under the laws of the State of California without regard to choice of law principles,\
\ and the UN Convention on Contracts for the International Sale of Goods does not\
\ apply to this Agreement. The courts of California shall have exclusive jurisdiction\
\ of any dispute arising out of this Agreement. \n### Llama 2 Acceptable Use Policy\n\
Meta is committed to promoting safe and fair use of its tools and features, including\
\ Llama 2. If you access or use Llama 2, you agree to this Acceptable Use Policy\
\ (“Policy”). The most recent copy of this policy can be found at [ai.meta.com/llama/use-policy](http://ai.meta.com/llama/use-policy).\n\
#### Prohibited Uses\nWe want everyone to use Llama 2 safely and responsibly. You\
\ agree you will not use, or allow others to use, Llama 2 to:\n1. Violate the law\
\ or others’ rights, including to:\n 1. Engage in, promote, generate, contribute\
\ to, encourage, plan, incite, or further illegal or unlawful activity or content,\
\ such as: \n 1. Violence or terrorism \n 2. Exploitation or harm\
\ to children, including the solicitation, creation, acquisition, or dissemination\
\ of child exploitative content or failure to report Child Sexual Abuse Material\n\
\ 3. Human trafficking, exploitation, and sexual violence\n 4.\
\ The illegal distribution of information or materials to minors, including obscene\
\ materials, or failure to employ legally required age-gating in connection with\
\ such information or materials.\n 5. Sexual solicitation\n 6.\
\ Any other criminal activity\n 2. Engage in, promote, incite, or facilitate\
\ the harassment, abuse, threatening, or bullying of individuals or groups of individuals\n\
\ 3. Engage in, promote, incite, or facilitate discrimination or other unlawful\
\ or harmful conduct in the provision of employment, employment benefits, credit,\
\ housing, other economic benefits, or other essential goods and services\n \
\ 4. Engage in the unauthorized or unlicensed practice of any profession including,\
\ but not limited to, financial, legal, medical/health, or related professional\
\ practices \n 5. Collect, process, disclose, generate, or infer health, demographic,\
\ or other sensitive personal or private information about individuals without rights\
\ and consents required by applicable laws\n 6. Engage in or facilitate any\
\ action or generate any content that infringes, misappropriates, or otherwise violates\
\ any third-party rights, including the outputs or results of any products or services\
\ using the Llama 2 Materials\n 7. Create, generate, or facilitate the creation\
\ of malicious code, malware, computer viruses or do anything else that could disable,\
\ overburden, interfere with or impair the proper working, integrity, operation\
\ or appearance of a website or computer system \n2. Engage in, promote, incite,\
\ facilitate, or assist in the planning or development of activities that present\
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\ to the following:\n 1. Military, warfare, nuclear industries or applications,\
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\ spam\n 4. Impersonating another individual without consent, authorization,\
\ or legal right\n 5. Representing that the use of Llama 2 or outputs are human-generated\n\
\ 6. Generating or facilitating false online engagement, including fake reviews\
\ and other means of fake online engagement \n 4. Fail to appropriately disclose\
\ to end users any known dangers of your AI system \nPlease report any violation\
\ of this Policy, software “bug,” or other problems that could lead to a violation\
\ of this Policy through one of the following means: \n * Reporting issues with\
\ the model: [github.com/facebookresearch/llama](http://github.com/facebookresearch/llama)\n\
\ * Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)\n\
\ * Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)\
\ \n * Reporting violations of the Acceptable Use Policy or unlicensed uses of\
\ Llama: [[email protected]](mailto:[email protected])"
extra_gated_fields:
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Last Name: text
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Country: country
Affiliation: text
geo: ip_location
? By clicking Submit below I accept the terms of the license and acknowledge that
the information I provide will be collected stored processed and shared in accordance
with the Meta Privacy Policy
: checkbox
extra_gated_description: The information you provide will be collected, stored, processed
and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
extra_gated_button_content: Submit
inference: false | null | null | null | null | [
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] | null | null | null | 2024-04-17T08:14:00+00:00 | language:
- en
license: llama2
pipeline_tag: text-generation
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
extra_gated_heading: You need to share contact information with Meta to access this
model
extra_gated_prompt: "### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\"Agreement\" means\
\ the terms and conditions for use, reproduction, distribution and modification\
\ of the Llama Materials set forth herein. \n\"Documentation\" means the specifications,\
\ manuals and documentation accompanying Llama 2 distributed by Meta at https://ai.meta.com/resources/models-and-libraries/llama-downloads/.\
\ \n\"Licensee\" or \"you\" means you, or your employer or any other person or\
\ entity (if you are entering into this Agreement on such person or entity's behalf),\
\ of the age required under applicable laws, rules or regulations to provide legal\
\ consent and that has legal authority to bind your employer or such other person\
\ or entity if you are entering in this Agreement on their behalf. \n\"Llama 2\"\
\ means the foundational large language models and software and algorithms, including\
\ machine-learning model code, trained model weights, inference-enabling code, training-enabling\
\ code, fine-tuning enabling code and other elements of the foregoing distributed\
\ by Meta at ai.meta.com/resources/models-and-libraries/llama-downloads/.\n\"Llama\
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\ (and any portion thereof) made available under this Agreement.\n\"Meta\" or \"\
we\" means Meta Platforms Ireland Limited (if you are located in or, if you are\
\ an entity, your principal place of business is in the EEA or Switzerland) and\
\ Meta Platforms, Inc. (if you are located outside of the EEA or Switzerland). \n\
\nBy clicking \"I Accept\" below or by using or distributing any portion or element\
\ of the Llama Materials, you agree to be bound by this Agreement.\n1. License Rights\
\ and Redistribution. \na. Grant of Rights. You are granted a non-exclusive, worldwide,\
\ non- transferable and royalty-free limited license under Meta's intellectual property\
\ or other rights owned by Meta embodied in the Llama Materials to use, reproduce,\
\ distribute, copy, create derivative works of, and make modifications to the Llama\
\ Materials. \nb. Redistribution and Use.\ni. If you distribute or make the Llama\
\ Materials, or any derivative works thereof, available to a third party, you shall\
\ provide a copy of this Agreement to such third party. \nii. If you receive Llama\
\ Materials, or any derivative works thereof, from a Licensee as part of an integrated\
\ end user product, then Section 2 of this Agreement will not apply to you. \n\
iii. You must retain in all copies of the Llama Materials that you distribute the\
\ following attribution notice within a \"Notice\" text file distributed as a part\
\ of such copies: \"Llama 2 is licensed under the LLAMA 2 Community License, Copyright\
\ (c) Meta Platforms, Inc. All Rights Reserved.\"\niv. Your use of the Llama Materials\
\ must comply with applicable laws and regulations (including trade compliance\
\ laws and regulations) and adhere to the Acceptable Use Policy for the Llama Materials\
\ (available at https://ai.meta.com/llama/use-policy), which is hereby incorporated\
\ by reference into this Agreement.\nv. You will not use the Llama Materials or\
\ any output or results of the Llama Materials to improve any other large language\
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\ Terms. If, on the Llama 2 version release date, the monthly active users of the\
\ products or services made available by or for Licensee, or Licensee's affiliates,\
\ is greater than 700 million monthly active users in the preceding calendar month,\
\ you must request a license from Meta, which Meta may grant to you in its sole\
\ discretion, and you are not authorized to exercise any of the rights under this\
\ Agreement unless or until Meta otherwise expressly grants you such rights.\n\
3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS\
\ AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN \"AS IS\" BASIS, WITHOUT\
\ WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, WITHOUT LIMITATION,\
\ ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A\
\ PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS\
\ OF USING OR REDISTRIBUTING THE LLAMA MATERIALS AND ASSUME ANY RISKS ASSOCIATED\
\ WITH YOUR USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS.\n4. Limitation\
\ of Liability. IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY\
\ OF LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE,\
\ ARISING OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL,\
\ CONSEQUENTIAL, INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS\
\ AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING.\n\n\
5. Intellectual Property.\na. No trademark licenses are granted under this Agreement,\
\ and in connection with the Llama Materials, neither Meta nor Licensee may use\
\ any name or mark owned by or associated with the other or any of its affiliates,\
\ except as required for reasonable and customary use in describing and redistributing\
\ the Llama Materials.\nb. Subject to Meta's ownership of Llama Materials and derivatives\
\ made by or for Meta, with respect to any derivative works and modifications of\
\ the Llama Materials that are made by you, as between you and Meta, you are and\
\ will be the owner of such derivative works and modifications.\nc. If you institute\
\ litigation or other proceedings against Meta or any entity (including a cross-claim\
\ or counterclaim in a lawsuit) alleging that the Llama Materials or Llama 2 outputs\
\ or results, or any portion of any of the foregoing, constitutes infringement\
\ of intellectual property or other rights owned or licensable by you, then any\
\ licenses granted to you under this Agreement shall terminate as of the date such\
\ litigation or claim is filed or instituted. You will indemnify and hold harmless\
\ Meta from and against any claim by any third party arising out of or related \
\ to your use or distribution of the Llama Materials.\n6. Term and Termination.\
\ The term of this Agreement will commence upon your acceptance of this Agreement\
\ or access to the Llama Materials and will continue in full force and effect until\
\ terminated in accordance with the terms and conditions herein. Meta may terminate\
\ this Agreement if you are in breach of any term or condition of this Agreement.\
\ Upon termination of this Agreement, you shall delete and cease use of the Llama\
\ Materials. Sections 3, 4 and 7 shall survive the termination of this Agreement.\
\ \n7. Governing Law and Jurisdiction. This Agreement will be governed and construed\
\ under the laws of the State of California without regard to choice of law principles,\
\ and the UN Convention on Contracts for the International Sale of Goods does not\
\ apply to this Agreement. The courts of California shall have exclusive jurisdiction\
\ of any dispute arising out of this Agreement. \n### Llama 2 Acceptable Use Policy\n\
Meta is committed to promoting safe and fair use of its tools and features, including\
\ Llama 2. If you access or use Llama 2, you agree to this Acceptable Use Policy\
\ (“Policy”). The most recent copy of this policy can be found at [ai.meta.com/llama/use-policy](http://ai.meta.com/llama/use-policy).\n\
#### Prohibited Uses\nWe want everyone to use Llama 2 safely and responsibly. You\
\ agree you will not use, or allow others to use, Llama 2 to:\n1. Violate the law\
\ or others’ rights, including to:\n 1. Engage in, promote, generate, contribute\
\ to, encourage, plan, incite, or further illegal or unlawful activity or content,\
\ such as: \n 1. Violence or terrorism \n 2. Exploitation or harm\
\ to children, including the solicitation, creation, acquisition, or dissemination\
\ of child exploitative content or failure to report Child Sexual Abuse Material\n\
\ 3. Human trafficking, exploitation, and sexual violence\n 4.\
\ The illegal distribution of information or materials to minors, including obscene\
\ materials, or failure to employ legally required age-gating in connection with\
\ such information or materials.\n 5. Sexual solicitation\n 6.\
\ Any other criminal activity\n 2. Engage in, promote, incite, or facilitate\
\ the harassment, abuse, threatening, or bullying of individuals or groups of individuals\n\
\ 3. Engage in, promote, incite, or facilitate discrimination or other unlawful\
\ or harmful conduct in the provision of employment, employment benefits, credit,\
\ housing, other economic benefits, or other essential goods and services\n \
\ 4. Engage in the unauthorized or unlicensed practice of any profession including,\
\ but not limited to, financial, legal, medical/health, or related professional\
\ practices \n 5. Collect, process, disclose, generate, or infer health, demographic,\
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\ and consents required by applicable laws\n 6. Engage in or facilitate any\
\ action or generate any content that infringes, misappropriates, or otherwise violates\
\ any third-party rights, including the outputs or results of any products or services\
\ using the Llama 2 Materials\n 7. Create, generate, or facilitate the creation\
\ of malicious code, malware, computer viruses or do anything else that could disable,\
\ overburden, interfere with or impair the proper working, integrity, operation\
\ or appearance of a website or computer system \n2. Engage in, promote, incite,\
\ facilitate, or assist in the planning or development of activities that present\
\ a risk of death or bodily harm to individuals, including use of Llama 2 related\
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\ espionage, use for materials or activities that are subject to the International\
\ Traffic Arms Regulations (ITAR) maintained by the United States Department of\
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\ Illegal drugs and regulated/controlled substances\n 4. Operation of critical\
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\ or harm to others, including suicide, cutting, and eating disorders\n 6. Any\
\ content intended to incite or promote violence, abuse, or any infliction of bodily\
\ harm to an individual\n3. Intentionally deceive or mislead others, including use\
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\ or furthering defamatory content, including the creation of defamatory statements,\
\ images, or other content\n 3. Generating, promoting, or further distributing\
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\ or legal right\n 5. Representing that the use of Llama 2 or outputs are human-generated\n\
\ 6. Generating or facilitating false online engagement, including fake reviews\
\ and other means of fake online engagement \n 4. Fail to appropriately disclose\
\ to end users any known dangers of your AI system \nPlease report any violation\
\ of this Policy, software “bug,” or other problems that could lead to a violation\
\ of this Policy through one of the following means: \n * Reporting issues with\
\ the model: [github.com/facebookresearch/llama](http://github.com/facebookresearch/llama)\n\
\ * Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)\n\
\ * Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)\
\ \n * Reporting violations of the Acceptable Use Policy or unlicensed uses of\
\ Llama: [[email protected]](mailto:[email protected])"
extra_gated_fields:
First Name: text
Last Name: text
Date of birth: date_picker
Country: country
Affiliation: text
geo: ip_location
? By clicking Submit below I accept the terms of the license and acknowledge that
the information I provide will be collected stored processed and shared in accordance
with the Meta Privacy Policy
: checkbox
extra_gated_description: The information you provide will be collected, stored, processed
and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
extra_gated_button_content: Submit
inference: false | null | 64aa6347e83137142406945d | meta-llama/Llama-2-7b-chat |
madebyollin/sdxl-vae-fp16-fix | madebyollin | 207b116dae70ace3637169f1ddd2434b91b3a8cd | 2024-02-03T17:10:22+00:00 | 2023-07-11T04:03:50Z | false | False | null | 382,444 | null | 543 | diffusers | null | explicit-opt-out | null | [
"diffusers",
"safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"license:mit",
"region:us"
] | null | null | 3 | license: mit
tags:
- stable-diffusion
- stable-diffusion-diffusers
inference: false | null | null | null | null | [
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"images/fix-fp16.png",
"images/fix-fp32.png",
"images/orig-fp16.png",
"images/orig-fp32.png",
"sdxl.vae.safetensors",
"sdxl_vae.safetensors"
] | null | null | null | 2024-02-03T17:10:22+00:00 | license: mit
tags:
- stable-diffusion
- stable-diffusion-diffusers
inference: false | null | 64acd4a6d15440de827d5bc3 | madebyollin/sdxl-vae-fp16-fix |
meta-llama/Llama-2-70b-hf | meta-llama | 3aba440b59558f995867ba6e1f58f21d0336b5bb | 2024-04-17T08:40:41+00:00 | 2023-07-11T08:56:34Z | false | manual | null | 28,867 | null | 849 | transformers | null | null | null | [
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"pytorch",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"llama-2",
"en",
"arxiv:2307.09288",
"license:llama2",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | null | 3 | language:
- en
license: llama2
pipeline_tag: text-generation
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
extra_gated_heading: You need to share contact information with Meta to access this
model
extra_gated_prompt: "### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\"Agreement\" means\
\ the terms and conditions for use, reproduction, distribution and modification\
\ of the Llama Materials set forth herein. \n\"Documentation\" means the specifications,\
\ manuals and documentation accompanying Llama 2 distributed by Meta at https://ai.meta.com/resources/models-and-libraries/llama-downloads/.\
\ \n\"Licensee\" or \"you\" means you, or your employer or any other person or\
\ entity (if you are entering into this Agreement on such person or entity's behalf),\
\ of the age required under applicable laws, rules or regulations to provide legal\
\ consent and that has legal authority to bind your employer or such other person\
\ or entity if you are entering in this Agreement on their behalf. \n\"Llama 2\"\
\ means the foundational large language models and software and algorithms, including\
\ machine-learning model code, trained model weights, inference-enabling code, training-enabling\
\ code, fine-tuning enabling code and other elements of the foregoing distributed\
\ by Meta at ai.meta.com/resources/models-and-libraries/llama-downloads/.\n\"Llama\
\ Materials\" means, collectively, Meta's proprietary Llama 2 and documentation\
\ (and any portion thereof) made available under this Agreement.\n\"Meta\" or \"\
we\" means Meta Platforms Ireland Limited (if you are located in or, if you are\
\ an entity, your principal place of business is in the EEA or Switzerland) and\
\ Meta Platforms, Inc. (if you are located outside of the EEA or Switzerland). \n\
\nBy clicking \"I Accept\" below or by using or distributing any portion or element\
\ of the Llama Materials, you agree to be bound by this Agreement.\n1. License Rights\
\ and Redistribution. \na. Grant of Rights. You are granted a non-exclusive, worldwide,\
\ non- transferable and royalty-free limited license under Meta's intellectual property\
\ or other rights owned by Meta embodied in the Llama Materials to use, reproduce,\
\ distribute, copy, create derivative works of, and make modifications to the Llama\
\ Materials. \nb. Redistribution and Use.\ni. If you distribute or make the Llama\
\ Materials, or any derivative works thereof, available to a third party, you shall\
\ provide a copy of this Agreement to such third party. \nii. If you receive Llama\
\ Materials, or any derivative works thereof, from a Licensee as part of an integrated\
\ end user product, then Section 2 of this Agreement will not apply to you. \n\
iii. You must retain in all copies of the Llama Materials that you distribute the\
\ following attribution notice within a \"Notice\" text file distributed as a part\
\ of such copies: \"Llama 2 is licensed under the LLAMA 2 Community License, Copyright\
\ (c) Meta Platforms, Inc. All Rights Reserved.\"\niv. Your use of the Llama Materials\
\ must comply with applicable laws and regulations (including trade compliance\
\ laws and regulations) and adhere to the Acceptable Use Policy for the Llama Materials\
\ (available at https://ai.meta.com/llama/use-policy), which is hereby incorporated\
\ by reference into this Agreement.\nv. You will not use the Llama Materials or\
\ any output or results of the Llama Materials to improve any other large language\
\ model (excluding Llama 2 or derivative works thereof). \n\n2. Additional Commercial\
\ Terms. If, on the Llama 2 version release date, the monthly active users of the\
\ products or services made available by or for Licensee, or Licensee's affiliates,\
\ is greater than 700 million monthly active users in the preceding calendar month,\
\ you must request a license from Meta, which Meta may grant to you in its sole\
\ discretion, and you are not authorized to exercise any of the rights under this\
\ Agreement unless or until Meta otherwise expressly grants you such rights.\n\
3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS\
\ AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN \"AS IS\" BASIS, WITHOUT\
\ WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, WITHOUT LIMITATION,\
\ ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A\
\ PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS\
\ OF USING OR REDISTRIBUTING THE LLAMA MATERIALS AND ASSUME ANY RISKS ASSOCIATED\
\ WITH YOUR USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS.\n4. Limitation\
\ of Liability. IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY\
\ OF LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE,\
\ ARISING OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL,\
\ CONSEQUENTIAL, INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS\
\ AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING.\n\n\
5. Intellectual Property.\na. No trademark licenses are granted under this Agreement,\
\ and in connection with the Llama Materials, neither Meta nor Licensee may use\
\ any name or mark owned by or associated with the other or any of its affiliates,\
\ except as required for reasonable and customary use in describing and redistributing\
\ the Llama Materials.\nb. Subject to Meta's ownership of Llama Materials and derivatives\
\ made by or for Meta, with respect to any derivative works and modifications of\
\ the Llama Materials that are made by you, as between you and Meta, you are and\
\ will be the owner of such derivative works and modifications.\nc. If you institute\
\ litigation or other proceedings against Meta or any entity (including a cross-claim\
\ or counterclaim in a lawsuit) alleging that the Llama Materials or Llama 2 outputs\
\ or results, or any portion of any of the foregoing, constitutes infringement\
\ of intellectual property or other rights owned or licensable by you, then any\
\ licenses granted to you under this Agreement shall terminate as of the date such\
\ litigation or claim is filed or instituted. You will indemnify and hold harmless\
\ Meta from and against any claim by any third party arising out of or related \
\ to your use or distribution of the Llama Materials.\n6. Term and Termination.\
\ The term of this Agreement will commence upon your acceptance of this Agreement\
\ or access to the Llama Materials and will continue in full force and effect until\
\ terminated in accordance with the terms and conditions herein. Meta may terminate\
\ this Agreement if you are in breach of any term or condition of this Agreement.\
\ Upon termination of this Agreement, you shall delete and cease use of the Llama\
\ Materials. Sections 3, 4 and 7 shall survive the termination of this Agreement.\
\ \n7. Governing Law and Jurisdiction. This Agreement will be governed and construed\
\ under the laws of the State of California without regard to choice of law principles,\
\ and the UN Convention on Contracts for the International Sale of Goods does not\
\ apply to this Agreement. The courts of California shall have exclusive jurisdiction\
\ of any dispute arising out of this Agreement. \n### Llama 2 Acceptable Use Policy\n\
Meta is committed to promoting safe and fair use of its tools and features, including\
\ Llama 2. If you access or use Llama 2, you agree to this Acceptable Use Policy\
\ (“Policy”). The most recent copy of this policy can be found at [ai.meta.com/llama/use-policy](http://ai.meta.com/llama/use-policy).\n\
#### Prohibited Uses\nWe want everyone to use Llama 2 safely and responsibly. You\
\ agree you will not use, or allow others to use, Llama 2 to:\n1. Violate the law\
\ or others’ rights, including to:\n 1. Engage in, promote, generate, contribute\
\ to, encourage, plan, incite, or further illegal or unlawful activity or content,\
\ such as: \n 1. Violence or terrorism \n 2. Exploitation or harm\
\ to children, including the solicitation, creation, acquisition, or dissemination\
\ of child exploitative content or failure to report Child Sexual Abuse Material\n\
\ 3. Human trafficking, exploitation, and sexual violence\n 4.\
\ The illegal distribution of information or materials to minors, including obscene\
\ materials, or failure to employ legally required age-gating in connection with\
\ such information or materials.\n 5. Sexual solicitation\n 6.\
\ Any other criminal activity\n 2. Engage in, promote, incite, or facilitate\
\ the harassment, abuse, threatening, or bullying of individuals or groups of individuals\n\
\ 3. Engage in, promote, incite, or facilitate discrimination or other unlawful\
\ or harmful conduct in the provision of employment, employment benefits, credit,\
\ housing, other economic benefits, or other essential goods and services\n \
\ 4. Engage in the unauthorized or unlicensed practice of any profession including,\
\ but not limited to, financial, legal, medical/health, or related professional\
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\ and consents required by applicable laws\n 6. Engage in or facilitate any\
\ action or generate any content that infringes, misappropriates, or otherwise violates\
\ any third-party rights, including the outputs or results of any products or services\
\ using the Llama 2 Materials\n 7. Create, generate, or facilitate the creation\
\ of malicious code, malware, computer viruses or do anything else that could disable,\
\ overburden, interfere with or impair the proper working, integrity, operation\
\ or appearance of a website or computer system \n2. Engage in, promote, incite,\
\ facilitate, or assist in the planning or development of activities that present\
\ a risk of death or bodily harm to individuals, including use of Llama 2 related\
\ to the following:\n 1. Military, warfare, nuclear industries or applications,\
\ espionage, use for materials or activities that are subject to the International\
\ Traffic Arms Regulations (ITAR) maintained by the United States Department of\
\ State\n 2. Guns and illegal weapons (including weapon development)\n 3.\
\ Illegal drugs and regulated/controlled substances\n 4. Operation of critical\
\ infrastructure, transportation technologies, or heavy machinery\n 5. Self-harm\
\ or harm to others, including suicide, cutting, and eating disorders\n 6. Any\
\ content intended to incite or promote violence, abuse, or any infliction of bodily\
\ harm to an individual\n3. Intentionally deceive or mislead others, including use\
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\ fraud or the creation or promotion of disinformation\n 2. Generating, promoting,\
\ or furthering defamatory content, including the creation of defamatory statements,\
\ images, or other content\n 3. Generating, promoting, or further distributing\
\ spam\n 4. Impersonating another individual without consent, authorization,\
\ or legal right\n 5. Representing that the use of Llama 2 or outputs are human-generated\n\
\ 6. Generating or facilitating false online engagement, including fake reviews\
\ and other means of fake online engagement \n 4. Fail to appropriately disclose\
\ to end users any known dangers of your AI system \nPlease report any violation\
\ of this Policy, software “bug,” or other problems that could lead to a violation\
\ of this Policy through one of the following means: \n * Reporting issues with\
\ the model: [github.com/facebookresearch/llama](http://github.com/facebookresearch/llama)\n\
\ * Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)\n\
\ * Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)\
\ \n * Reporting violations of the Acceptable Use Policy or unlicensed uses of\
\ Llama: [[email protected]](mailto:[email protected])"
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First Name: text
Last Name: text
Date of birth: date_picker
Country: country
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geo: ip_location
? By clicking Submit below I accept the terms of the license and acknowledge that
the information I provide will be collected stored processed and shared in accordance
with the Meta Privacy Policy
: checkbox
extra_gated_description: The information you provide will be collected, stored, processed
and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
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] | null | null | null | 2024-04-17T08:40:41+00:00 | language:
- en
license: llama2
pipeline_tag: text-generation
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
extra_gated_heading: You need to share contact information with Meta to access this
model
extra_gated_prompt: "### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\"Agreement\" means\
\ the terms and conditions for use, reproduction, distribution and modification\
\ of the Llama Materials set forth herein. \n\"Documentation\" means the specifications,\
\ manuals and documentation accompanying Llama 2 distributed by Meta at https://ai.meta.com/resources/models-and-libraries/llama-downloads/.\
\ \n\"Licensee\" or \"you\" means you, or your employer or any other person or\
\ entity (if you are entering into this Agreement on such person or entity's behalf),\
\ of the age required under applicable laws, rules or regulations to provide legal\
\ consent and that has legal authority to bind your employer or such other person\
\ or entity if you are entering in this Agreement on their behalf. \n\"Llama 2\"\
\ means the foundational large language models and software and algorithms, including\
\ machine-learning model code, trained model weights, inference-enabling code, training-enabling\
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we\" means Meta Platforms Ireland Limited (if you are located in or, if you are\
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\ Meta Platforms, Inc. (if you are located outside of the EEA or Switzerland). \n\
\nBy clicking \"I Accept\" below or by using or distributing any portion or element\
\ of the Llama Materials, you agree to be bound by this Agreement.\n1. License Rights\
\ and Redistribution. \na. Grant of Rights. You are granted a non-exclusive, worldwide,\
\ non- transferable and royalty-free limited license under Meta's intellectual property\
\ or other rights owned by Meta embodied in the Llama Materials to use, reproduce,\
\ distribute, copy, create derivative works of, and make modifications to the Llama\
\ Materials. \nb. Redistribution and Use.\ni. If you distribute or make the Llama\
\ Materials, or any derivative works thereof, available to a third party, you shall\
\ provide a copy of this Agreement to such third party. \nii. If you receive Llama\
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iii. You must retain in all copies of the Llama Materials that you distribute the\
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\ of such copies: \"Llama 2 is licensed under the LLAMA 2 Community License, Copyright\
\ (c) Meta Platforms, Inc. All Rights Reserved.\"\niv. Your use of the Llama Materials\
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\ laws and regulations) and adhere to the Acceptable Use Policy for the Llama Materials\
\ (available at https://ai.meta.com/llama/use-policy), which is hereby incorporated\
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\ products or services made available by or for Licensee, or Licensee's affiliates,\
\ is greater than 700 million monthly active users in the preceding calendar month,\
\ you must request a license from Meta, which Meta may grant to you in its sole\
\ discretion, and you are not authorized to exercise any of the rights under this\
\ Agreement unless or until Meta otherwise expressly grants you such rights.\n\
3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS\
\ AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN \"AS IS\" BASIS, WITHOUT\
\ WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, WITHOUT LIMITATION,\
\ ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A\
\ PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS\
\ OF USING OR REDISTRIBUTING THE LLAMA MATERIALS AND ASSUME ANY RISKS ASSOCIATED\
\ WITH YOUR USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS.\n4. Limitation\
\ of Liability. IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY\
\ OF LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE,\
\ ARISING OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL,\
\ CONSEQUENTIAL, INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS\
\ AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING.\n\n\
5. Intellectual Property.\na. No trademark licenses are granted under this Agreement,\
\ and in connection with the Llama Materials, neither Meta nor Licensee may use\
\ any name or mark owned by or associated with the other or any of its affiliates,\
\ except as required for reasonable and customary use in describing and redistributing\
\ the Llama Materials.\nb. Subject to Meta's ownership of Llama Materials and derivatives\
\ made by or for Meta, with respect to any derivative works and modifications of\
\ the Llama Materials that are made by you, as between you and Meta, you are and\
\ will be the owner of such derivative works and modifications.\nc. If you institute\
\ litigation or other proceedings against Meta or any entity (including a cross-claim\
\ or counterclaim in a lawsuit) alleging that the Llama Materials or Llama 2 outputs\
\ or results, or any portion of any of the foregoing, constitutes infringement\
\ of intellectual property or other rights owned or licensable by you, then any\
\ licenses granted to you under this Agreement shall terminate as of the date such\
\ litigation or claim is filed or instituted. You will indemnify and hold harmless\
\ Meta from and against any claim by any third party arising out of or related \
\ to your use or distribution of the Llama Materials.\n6. Term and Termination.\
\ The term of this Agreement will commence upon your acceptance of this Agreement\
\ or access to the Llama Materials and will continue in full force and effect until\
\ terminated in accordance with the terms and conditions herein. Meta may terminate\
\ this Agreement if you are in breach of any term or condition of this Agreement.\
\ Upon termination of this Agreement, you shall delete and cease use of the Llama\
\ Materials. Sections 3, 4 and 7 shall survive the termination of this Agreement.\
\ \n7. Governing Law and Jurisdiction. This Agreement will be governed and construed\
\ under the laws of the State of California without regard to choice of law principles,\
\ and the UN Convention on Contracts for the International Sale of Goods does not\
\ apply to this Agreement. The courts of California shall have exclusive jurisdiction\
\ of any dispute arising out of this Agreement. \n### Llama 2 Acceptable Use Policy\n\
Meta is committed to promoting safe and fair use of its tools and features, including\
\ Llama 2. If you access or use Llama 2, you agree to this Acceptable Use Policy\
\ (“Policy”). The most recent copy of this policy can be found at [ai.meta.com/llama/use-policy](http://ai.meta.com/llama/use-policy).\n\
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\ to, encourage, plan, incite, or further illegal or unlawful activity or content,\
\ such as: \n 1. Violence or terrorism \n 2. Exploitation or harm\
\ to children, including the solicitation, creation, acquisition, or dissemination\
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\ The illegal distribution of information or materials to minors, including obscene\
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\ Any other criminal activity\n 2. Engage in, promote, incite, or facilitate\
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\ and consents required by applicable laws\n 6. Engage in or facilitate any\
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\ Illegal drugs and regulated/controlled substances\n 4. Operation of critical\
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\ harm to an individual\n3. Intentionally deceive or mislead others, including use\
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\ images, or other content\n 3. Generating, promoting, or further distributing\
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\ or legal right\n 5. Representing that the use of Llama 2 or outputs are human-generated\n\
\ 6. Generating or facilitating false online engagement, including fake reviews\
\ and other means of fake online engagement \n 4. Fail to appropriately disclose\
\ to end users any known dangers of your AI system \nPlease report any violation\
\ of this Policy, software “bug,” or other problems that could lead to a violation\
\ of this Policy through one of the following means: \n * Reporting issues with\
\ the model: [github.com/facebookresearch/llama](http://github.com/facebookresearch/llama)\n\
\ * Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)\n\
\ * Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)\
\ \n * Reporting violations of the Acceptable Use Policy or unlicensed uses of\
\ Llama: [[email protected]](mailto:[email protected])"
extra_gated_fields:
First Name: text
Last Name: text
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Affiliation: text
geo: ip_location
? By clicking Submit below I accept the terms of the license and acknowledge that
the information I provide will be collected stored processed and shared in accordance
with the Meta Privacy Policy
: checkbox
extra_gated_description: The information you provide will be collected, stored, processed
and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
extra_gated_button_content: Submit | null | 64ad19423b0219010e1d216c | meta-llama/Llama-2-70b-hf |
meta-llama/Llama-2-13b-chat-hf | meta-llama | a2cb7a712bb6e5e736ca7f8cd98167f81a0b5bd8 | 2024-04-17T08:40:58+00:00 | 2023-07-13T15:11:20Z | false | manual | null | 208,463 | null | 1,070 | transformers | null | null | null | [
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"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"llama-2",
"conversational",
"en",
"arxiv:2307.09288",
"license:llama2",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | null | 3 | language:
- en
license: llama2
pipeline_tag: text-generation
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
extra_gated_heading: You need to share contact information with Meta to access this
model
extra_gated_prompt: "### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\"Agreement\" means\
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\ of the Llama Materials set forth herein. \n\"Documentation\" means the specifications,\
\ manuals and documentation accompanying Llama 2 distributed by Meta at https://ai.meta.com/resources/models-and-libraries/llama-downloads/.\
\ \n\"Licensee\" or \"you\" means you, or your employer or any other person or\
\ entity (if you are entering into this Agreement on such person or entity's behalf),\
\ of the age required under applicable laws, rules or regulations to provide legal\
\ consent and that has legal authority to bind your employer or such other person\
\ or entity if you are entering in this Agreement on their behalf. \n\"Llama 2\"\
\ means the foundational large language models and software and algorithms, including\
\ machine-learning model code, trained model weights, inference-enabling code, training-enabling\
\ code, fine-tuning enabling code and other elements of the foregoing distributed\
\ by Meta at ai.meta.com/resources/models-and-libraries/llama-downloads/.\n\"Llama\
\ Materials\" means, collectively, Meta's proprietary Llama 2 and documentation\
\ (and any portion thereof) made available under this Agreement.\n\"Meta\" or \"\
we\" means Meta Platforms Ireland Limited (if you are located in or, if you are\
\ an entity, your principal place of business is in the EEA or Switzerland) and\
\ Meta Platforms, Inc. (if you are located outside of the EEA or Switzerland). \n\
\nBy clicking \"I Accept\" below or by using or distributing any portion or element\
\ of the Llama Materials, you agree to be bound by this Agreement.\n1. License Rights\
\ and Redistribution. \na. Grant of Rights. You are granted a non-exclusive, worldwide,\
\ non- transferable and royalty-free limited license under Meta's intellectual property\
\ or other rights owned by Meta embodied in the Llama Materials to use, reproduce,\
\ distribute, copy, create derivative works of, and make modifications to the Llama\
\ Materials. \nb. Redistribution and Use.\ni. If you distribute or make the Llama\
\ Materials, or any derivative works thereof, available to a third party, you shall\
\ provide a copy of this Agreement to such third party. \nii. If you receive Llama\
\ Materials, or any derivative works thereof, from a Licensee as part of an integrated\
\ end user product, then Section 2 of this Agreement will not apply to you. \n\
iii. You must retain in all copies of the Llama Materials that you distribute the\
\ following attribution notice within a \"Notice\" text file distributed as a part\
\ of such copies: \"Llama 2 is licensed under the LLAMA 2 Community License, Copyright\
\ (c) Meta Platforms, Inc. All Rights Reserved.\"\niv. Your use of the Llama Materials\
\ must comply with applicable laws and regulations (including trade compliance\
\ laws and regulations) and adhere to the Acceptable Use Policy for the Llama Materials\
\ (available at https://ai.meta.com/llama/use-policy), which is hereby incorporated\
\ by reference into this Agreement.\nv. You will not use the Llama Materials or\
\ any output or results of the Llama Materials to improve any other large language\
\ model (excluding Llama 2 or derivative works thereof). \n\n2. Additional Commercial\
\ Terms. If, on the Llama 2 version release date, the monthly active users of the\
\ products or services made available by or for Licensee, or Licensee's affiliates,\
\ is greater than 700 million monthly active users in the preceding calendar month,\
\ you must request a license from Meta, which Meta may grant to you in its sole\
\ discretion, and you are not authorized to exercise any of the rights under this\
\ Agreement unless or until Meta otherwise expressly grants you such rights.\n\
3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS\
\ AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN \"AS IS\" BASIS, WITHOUT\
\ WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, WITHOUT LIMITATION,\
\ ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A\
\ PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS\
\ OF USING OR REDISTRIBUTING THE LLAMA MATERIALS AND ASSUME ANY RISKS ASSOCIATED\
\ WITH YOUR USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS.\n4. Limitation\
\ of Liability. IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY\
\ OF LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE,\
\ ARISING OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL,\
\ CONSEQUENTIAL, INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS\
\ AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING.\n\n\
5. Intellectual Property.\na. No trademark licenses are granted under this Agreement,\
\ and in connection with the Llama Materials, neither Meta nor Licensee may use\
\ any name or mark owned by or associated with the other or any of its affiliates,\
\ except as required for reasonable and customary use in describing and redistributing\
\ the Llama Materials.\nb. Subject to Meta's ownership of Llama Materials and derivatives\
\ made by or for Meta, with respect to any derivative works and modifications of\
\ the Llama Materials that are made by you, as between you and Meta, you are and\
\ will be the owner of such derivative works and modifications.\nc. If you institute\
\ litigation or other proceedings against Meta or any entity (including a cross-claim\
\ or counterclaim in a lawsuit) alleging that the Llama Materials or Llama 2 outputs\
\ or results, or any portion of any of the foregoing, constitutes infringement\
\ of intellectual property or other rights owned or licensable by you, then any\
\ licenses granted to you under this Agreement shall terminate as of the date such\
\ litigation or claim is filed or instituted. You will indemnify and hold harmless\
\ Meta from and against any claim by any third party arising out of or related \
\ to your use or distribution of the Llama Materials.\n6. Term and Termination.\
\ The term of this Agreement will commence upon your acceptance of this Agreement\
\ or access to the Llama Materials and will continue in full force and effect until\
\ terminated in accordance with the terms and conditions herein. Meta may terminate\
\ this Agreement if you are in breach of any term or condition of this Agreement.\
\ Upon termination of this Agreement, you shall delete and cease use of the Llama\
\ Materials. Sections 3, 4 and 7 shall survive the termination of this Agreement.\
\ \n7. Governing Law and Jurisdiction. This Agreement will be governed and construed\
\ under the laws of the State of California without regard to choice of law principles,\
\ and the UN Convention on Contracts for the International Sale of Goods does not\
\ apply to this Agreement. The courts of California shall have exclusive jurisdiction\
\ of any dispute arising out of this Agreement. \n### Llama 2 Acceptable Use Policy\n\
Meta is committed to promoting safe and fair use of its tools and features, including\
\ Llama 2. If you access or use Llama 2, you agree to this Acceptable Use Policy\
\ (“Policy”). The most recent copy of this policy can be found at [ai.meta.com/llama/use-policy](http://ai.meta.com/llama/use-policy).\n\
#### Prohibited Uses\nWe want everyone to use Llama 2 safely and responsibly. You\
\ agree you will not use, or allow others to use, Llama 2 to:\n1. Violate the law\
\ or others’ rights, including to:\n 1. Engage in, promote, generate, contribute\
\ to, encourage, plan, incite, or further illegal or unlawful activity or content,\
\ such as: \n 1. Violence or terrorism \n 2. Exploitation or harm\
\ to children, including the solicitation, creation, acquisition, or dissemination\
\ of child exploitative content or failure to report Child Sexual Abuse Material\n\
\ 3. Human trafficking, exploitation, and sexual violence\n 4.\
\ The illegal distribution of information or materials to minors, including obscene\
\ materials, or failure to employ legally required age-gating in connection with\
\ such information or materials.\n 5. Sexual solicitation\n 6.\
\ Any other criminal activity\n 2. Engage in, promote, incite, or facilitate\
\ the harassment, abuse, threatening, or bullying of individuals or groups of individuals\n\
\ 3. Engage in, promote, incite, or facilitate discrimination or other unlawful\
\ or harmful conduct in the provision of employment, employment benefits, credit,\
\ housing, other economic benefits, or other essential goods and services\n \
\ 4. Engage in the unauthorized or unlicensed practice of any profession including,\
\ but not limited to, financial, legal, medical/health, or related professional\
\ practices \n 5. Collect, process, disclose, generate, or infer health, demographic,\
\ or other sensitive personal or private information about individuals without rights\
\ and consents required by applicable laws\n 6. Engage in or facilitate any\
\ action or generate any content that infringes, misappropriates, or otherwise violates\
\ any third-party rights, including the outputs or results of any products or services\
\ using the Llama 2 Materials\n 7. Create, generate, or facilitate the creation\
\ of malicious code, malware, computer viruses or do anything else that could disable,\
\ overburden, interfere with or impair the proper working, integrity, operation\
\ or appearance of a website or computer system \n2. Engage in, promote, incite,\
\ facilitate, or assist in the planning or development of activities that present\
\ a risk of death or bodily harm to individuals, including use of Llama 2 related\
\ to the following:\n 1. Military, warfare, nuclear industries or applications,\
\ espionage, use for materials or activities that are subject to the International\
\ Traffic Arms Regulations (ITAR) maintained by the United States Department of\
\ State\n 2. Guns and illegal weapons (including weapon development)\n 3.\
\ Illegal drugs and regulated/controlled substances\n 4. Operation of critical\
\ infrastructure, transportation technologies, or heavy machinery\n 5. Self-harm\
\ or harm to others, including suicide, cutting, and eating disorders\n 6. Any\
\ content intended to incite or promote violence, abuse, or any infliction of bodily\
\ harm to an individual\n3. Intentionally deceive or mislead others, including use\
\ of Llama 2 related to the following:\n 1. Generating, promoting, or furthering\
\ fraud or the creation or promotion of disinformation\n 2. Generating, promoting,\
\ or furthering defamatory content, including the creation of defamatory statements,\
\ images, or other content\n 3. Generating, promoting, or further distributing\
\ spam\n 4. Impersonating another individual without consent, authorization,\
\ or legal right\n 5. Representing that the use of Llama 2 or outputs are human-generated\n\
\ 6. Generating or facilitating false online engagement, including fake reviews\
\ and other means of fake online engagement \n 4. Fail to appropriately disclose\
\ to end users any known dangers of your AI system \nPlease report any violation\
\ of this Policy, software “bug,” or other problems that could lead to a violation\
\ of this Policy through one of the following means: \n * Reporting issues with\
\ the model: [github.com/facebookresearch/llama](http://github.com/facebookresearch/llama)\n\
\ * Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)\n\
\ * Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)\
\ \n * Reporting violations of the Acceptable Use Policy or unlicensed uses of\
\ Llama: [[email protected]](mailto:[email protected])"
extra_gated_fields:
First Name: text
Last Name: text
Date of birth: date_picker
Country: country
Affiliation: text
geo: ip_location
? By clicking Submit below I accept the terms of the license and acknowledge that
the information I provide will be collected stored processed and shared in accordance
with the Meta Privacy Policy
: checkbox
extra_gated_description: The information you provide will be collected, stored, processed
and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
extra_gated_button_content: Submit | null | null | null | null | [
".gitattributes",
"LICENSE.txt",
"README.md",
"Responsible-Use-Guide.pdf",
"USE_POLICY.md",
"config.json",
"generation_config.json",
"model-00001-of-00003.safetensors",
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] | null | null | null | 2024-04-17T08:40:58+00:00 | language:
- en
license: llama2
pipeline_tag: text-generation
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
extra_gated_heading: You need to share contact information with Meta to access this
model
extra_gated_prompt: "### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\"Agreement\" means\
\ the terms and conditions for use, reproduction, distribution and modification\
\ of the Llama Materials set forth herein. \n\"Documentation\" means the specifications,\
\ manuals and documentation accompanying Llama 2 distributed by Meta at https://ai.meta.com/resources/models-and-libraries/llama-downloads/.\
\ \n\"Licensee\" or \"you\" means you, or your employer or any other person or\
\ entity (if you are entering into this Agreement on such person or entity's behalf),\
\ of the age required under applicable laws, rules or regulations to provide legal\
\ consent and that has legal authority to bind your employer or such other person\
\ or entity if you are entering in this Agreement on their behalf. \n\"Llama 2\"\
\ means the foundational large language models and software and algorithms, including\
\ machine-learning model code, trained model weights, inference-enabling code, training-enabling\
\ code, fine-tuning enabling code and other elements of the foregoing distributed\
\ by Meta at ai.meta.com/resources/models-and-libraries/llama-downloads/.\n\"Llama\
\ Materials\" means, collectively, Meta's proprietary Llama 2 and documentation\
\ (and any portion thereof) made available under this Agreement.\n\"Meta\" or \"\
we\" means Meta Platforms Ireland Limited (if you are located in or, if you are\
\ an entity, your principal place of business is in the EEA or Switzerland) and\
\ Meta Platforms, Inc. (if you are located outside of the EEA or Switzerland). \n\
\nBy clicking \"I Accept\" below or by using or distributing any portion or element\
\ of the Llama Materials, you agree to be bound by this Agreement.\n1. License Rights\
\ and Redistribution. \na. Grant of Rights. You are granted a non-exclusive, worldwide,\
\ non- transferable and royalty-free limited license under Meta's intellectual property\
\ or other rights owned by Meta embodied in the Llama Materials to use, reproduce,\
\ distribute, copy, create derivative works of, and make modifications to the Llama\
\ Materials. \nb. Redistribution and Use.\ni. If you distribute or make the Llama\
\ Materials, or any derivative works thereof, available to a third party, you shall\
\ provide a copy of this Agreement to such third party. \nii. If you receive Llama\
\ Materials, or any derivative works thereof, from a Licensee as part of an integrated\
\ end user product, then Section 2 of this Agreement will not apply to you. \n\
iii. You must retain in all copies of the Llama Materials that you distribute the\
\ following attribution notice within a \"Notice\" text file distributed as a part\
\ of such copies: \"Llama 2 is licensed under the LLAMA 2 Community License, Copyright\
\ (c) Meta Platforms, Inc. All Rights Reserved.\"\niv. Your use of the Llama Materials\
\ must comply with applicable laws and regulations (including trade compliance\
\ laws and regulations) and adhere to the Acceptable Use Policy for the Llama Materials\
\ (available at https://ai.meta.com/llama/use-policy), which is hereby incorporated\
\ by reference into this Agreement.\nv. You will not use the Llama Materials or\
\ any output or results of the Llama Materials to improve any other large language\
\ model (excluding Llama 2 or derivative works thereof). \n\n2. Additional Commercial\
\ Terms. If, on the Llama 2 version release date, the monthly active users of the\
\ products or services made available by or for Licensee, or Licensee's affiliates,\
\ is greater than 700 million monthly active users in the preceding calendar month,\
\ you must request a license from Meta, which Meta may grant to you in its sole\
\ discretion, and you are not authorized to exercise any of the rights under this\
\ Agreement unless or until Meta otherwise expressly grants you such rights.\n\
3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS\
\ AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN \"AS IS\" BASIS, WITHOUT\
\ WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, WITHOUT LIMITATION,\
\ ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A\
\ PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS\
\ OF USING OR REDISTRIBUTING THE LLAMA MATERIALS AND ASSUME ANY RISKS ASSOCIATED\
\ WITH YOUR USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS.\n4. Limitation\
\ of Liability. IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY\
\ OF LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE,\
\ ARISING OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL,\
\ CONSEQUENTIAL, INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS\
\ AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING.\n\n\
5. Intellectual Property.\na. No trademark licenses are granted under this Agreement,\
\ and in connection with the Llama Materials, neither Meta nor Licensee may use\
\ any name or mark owned by or associated with the other or any of its affiliates,\
\ except as required for reasonable and customary use in describing and redistributing\
\ the Llama Materials.\nb. Subject to Meta's ownership of Llama Materials and derivatives\
\ made by or for Meta, with respect to any derivative works and modifications of\
\ the Llama Materials that are made by you, as between you and Meta, you are and\
\ will be the owner of such derivative works and modifications.\nc. If you institute\
\ litigation or other proceedings against Meta or any entity (including a cross-claim\
\ or counterclaim in a lawsuit) alleging that the Llama Materials or Llama 2 outputs\
\ or results, or any portion of any of the foregoing, constitutes infringement\
\ of intellectual property or other rights owned or licensable by you, then any\
\ licenses granted to you under this Agreement shall terminate as of the date such\
\ litigation or claim is filed or instituted. You will indemnify and hold harmless\
\ Meta from and against any claim by any third party arising out of or related \
\ to your use or distribution of the Llama Materials.\n6. Term and Termination.\
\ The term of this Agreement will commence upon your acceptance of this Agreement\
\ or access to the Llama Materials and will continue in full force and effect until\
\ terminated in accordance with the terms and conditions herein. Meta may terminate\
\ this Agreement if you are in breach of any term or condition of this Agreement.\
\ Upon termination of this Agreement, you shall delete and cease use of the Llama\
\ Materials. Sections 3, 4 and 7 shall survive the termination of this Agreement.\
\ \n7. Governing Law and Jurisdiction. This Agreement will be governed and construed\
\ under the laws of the State of California without regard to choice of law principles,\
\ and the UN Convention on Contracts for the International Sale of Goods does not\
\ apply to this Agreement. The courts of California shall have exclusive jurisdiction\
\ of any dispute arising out of this Agreement. \n### Llama 2 Acceptable Use Policy\n\
Meta is committed to promoting safe and fair use of its tools and features, including\
\ Llama 2. If you access or use Llama 2, you agree to this Acceptable Use Policy\
\ (“Policy”). The most recent copy of this policy can be found at [ai.meta.com/llama/use-policy](http://ai.meta.com/llama/use-policy).\n\
#### Prohibited Uses\nWe want everyone to use Llama 2 safely and responsibly. You\
\ agree you will not use, or allow others to use, Llama 2 to:\n1. Violate the law\
\ or others’ rights, including to:\n 1. Engage in, promote, generate, contribute\
\ to, encourage, plan, incite, or further illegal or unlawful activity or content,\
\ such as: \n 1. Violence or terrorism \n 2. Exploitation or harm\
\ to children, including the solicitation, creation, acquisition, or dissemination\
\ of child exploitative content or failure to report Child Sexual Abuse Material\n\
\ 3. Human trafficking, exploitation, and sexual violence\n 4.\
\ The illegal distribution of information or materials to minors, including obscene\
\ materials, or failure to employ legally required age-gating in connection with\
\ such information or materials.\n 5. Sexual solicitation\n 6.\
\ Any other criminal activity\n 2. Engage in, promote, incite, or facilitate\
\ the harassment, abuse, threatening, or bullying of individuals or groups of individuals\n\
\ 3. Engage in, promote, incite, or facilitate discrimination or other unlawful\
\ or harmful conduct in the provision of employment, employment benefits, credit,\
\ housing, other economic benefits, or other essential goods and services\n \
\ 4. Engage in the unauthorized or unlicensed practice of any profession including,\
\ but not limited to, financial, legal, medical/health, or related professional\
\ practices \n 5. Collect, process, disclose, generate, or infer health, demographic,\
\ or other sensitive personal or private information about individuals without rights\
\ and consents required by applicable laws\n 6. Engage in or facilitate any\
\ action or generate any content that infringes, misappropriates, or otherwise violates\
\ any third-party rights, including the outputs or results of any products or services\
\ using the Llama 2 Materials\n 7. Create, generate, or facilitate the creation\
\ of malicious code, malware, computer viruses or do anything else that could disable,\
\ overburden, interfere with or impair the proper working, integrity, operation\
\ or appearance of a website or computer system \n2. Engage in, promote, incite,\
\ facilitate, or assist in the planning or development of activities that present\
\ a risk of death or bodily harm to individuals, including use of Llama 2 related\
\ to the following:\n 1. Military, warfare, nuclear industries or applications,\
\ espionage, use for materials or activities that are subject to the International\
\ Traffic Arms Regulations (ITAR) maintained by the United States Department of\
\ State\n 2. Guns and illegal weapons (including weapon development)\n 3.\
\ Illegal drugs and regulated/controlled substances\n 4. Operation of critical\
\ infrastructure, transportation technologies, or heavy machinery\n 5. Self-harm\
\ or harm to others, including suicide, cutting, and eating disorders\n 6. Any\
\ content intended to incite or promote violence, abuse, or any infliction of bodily\
\ harm to an individual\n3. Intentionally deceive or mislead others, including use\
\ of Llama 2 related to the following:\n 1. Generating, promoting, or furthering\
\ fraud or the creation or promotion of disinformation\n 2. Generating, promoting,\
\ or furthering defamatory content, including the creation of defamatory statements,\
\ images, or other content\n 3. Generating, promoting, or further distributing\
\ spam\n 4. Impersonating another individual without consent, authorization,\
\ or legal right\n 5. Representing that the use of Llama 2 or outputs are human-generated\n\
\ 6. Generating or facilitating false online engagement, including fake reviews\
\ and other means of fake online engagement \n 4. Fail to appropriately disclose\
\ to end users any known dangers of your AI system \nPlease report any violation\
\ of this Policy, software “bug,” or other problems that could lead to a violation\
\ of this Policy through one of the following means: \n * Reporting issues with\
\ the model: [github.com/facebookresearch/llama](http://github.com/facebookresearch/llama)\n\
\ * Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)\n\
\ * Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)\
\ \n * Reporting violations of the Acceptable Use Policy or unlicensed uses of\
\ Llama: [[email protected]](mailto:[email protected])"
extra_gated_fields:
First Name: text
Last Name: text
Date of birth: date_picker
Country: country
Affiliation: text
geo: ip_location
? By clicking Submit below I accept the terms of the license and acknowledge that
the information I provide will be collected stored processed and shared in accordance
with the Meta Privacy Policy
: checkbox
extra_gated_description: The information you provide will be collected, stored, processed
and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
extra_gated_button_content: Submit | null | 64b01418c2f8f5e34a7f1302 | meta-llama/Llama-2-13b-chat-hf |
Gryphe/MythoMax-L2-13b | Gryphe | 58e77dd48a65176f97f6f376c93efe9caad9c130 | 2024-04-21T17:42:57+00:00 | 2023-08-10T20:35:34Z | false | False | null | 7,541 | null | 294 | transformers | null | not-popular-enough | null | [
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"text-generation",
"en",
"license:other",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | null | 3 | language:
- en
license: other | null | null | null | null | [
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license: other | null | 64d54a162fe2c11264f18e92 | Gryphe/MythoMax-L2-13b |
inceptionai/jais-13b-chat | inceptionai | da77b5e603b74c5f7866cb6a488dd24e0cb7ffa7 | 2024-09-11T11:22:44+00:00 | 2023-08-23T06:43:05Z | false | auto | null | 6,701 | null | 152 | transformers | null | custom-code | null | [
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"license:apache-2.0",
"autotrain_compatible",
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] | text-generation | null | 3 | language:
- ar
- en
license: apache-2.0
pipeline_tag: text-generation
tags:
- Arabic
- English
- LLM
- Decoder
- causal-lm | null | null | null | null | [
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license: apache-2.0
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- causal-lm | null | 64e5aa792fe9bc4bd3e20e61 | inceptionai/jais-13b-chat |
TheBloke/MythoMax-L2-13B-GGUF | TheBloke | afaa206f2acab3d6b9cbb84da031da59ddf3f16a | 2023-09-27T12:47:17+00:00 | 2023-09-05T03:10:48Z | false | False | null | 23,709 | null | 98 | transformers | null | explicit-opt-out | null | [
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"llama",
"en",
"base_model:Gryphe/MythoMax-L2-13b",
"base_model:quantized:Gryphe/MythoMax-L2-13b",
"license:other",
"region:us"
] | null | null | 3 | base_model: Gryphe/MythoMax-L2-13b
language:
- en
license: other
model_name: MythoMax L2 13B
inference: false
model_creator: Gryphe
model_type: llama
prompt_template: '```
{system_message}
### Instruction:
{prompt}
(For roleplay purposes, I suggest the following - Write <CHAR NAME>''s next reply
in a chat between <YOUR NAME> and <CHAR NAME>. Write a single reply only.)
### Response:
```
'
quantized_by: TheBloke | null | null | null | null | [
".gitattributes",
"LICENSE.txt",
"Notice",
"README.md",
"USE_POLICY.md",
"config.json",
"mythomax-l2-13b.Q2_K.gguf",
"mythomax-l2-13b.Q3_K_L.gguf",
"mythomax-l2-13b.Q3_K_M.gguf",
"mythomax-l2-13b.Q3_K_S.gguf",
"mythomax-l2-13b.Q4_0.gguf",
"mythomax-l2-13b.Q4_K_M.gguf",
"mythomax-l2-13b.Q4_K_S.gguf",
"mythomax-l2-13b.Q5_0.gguf",
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"mythomax-l2-13b.Q6_K.gguf",
"mythomax-l2-13b.Q8_0.gguf"
] | null | null | null | 2023-09-27T12:47:17+00:00 | base_model: Gryphe/MythoMax-L2-13b
language:
- en
license: other
model_name: MythoMax L2 13B
inference: false
model_creator: Gryphe
model_type: llama
prompt_template: '```
{system_message}
### Instruction:
{prompt}
(For roleplay purposes, I suggest the following - Write <CHAR NAME>''s next reply
in a chat between <YOUR NAME> and <CHAR NAME>. Write a single reply only.)
### Response:
```
'
quantized_by: TheBloke | null | 64f69c38c3bdaab6f58e2b8c | TheBloke/MythoMax-L2-13B-GGUF |
BAAI/bge-small-zh-v1.5 | BAAI | 7999e1d3359715c523056ef9478215996d62a620 | 2023-10-12T03:35:59+00:00 | 2023-09-12T05:22:29Z | false | False | null | 56,853 | null | 56 | transformers | null | not-popular-enough | null | [
"transformers",
"pytorch",
"safetensors",
"bert",
"feature-extraction",
"zh",
"arxiv:2310.07554",
"arxiv:2309.07597",
"license:mit",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | feature-extraction | null | 3 | language:
- zh
license: mit | null | null | null | null | [
".gitattributes",
"1_Pooling/config.json",
"README.md",
"config.json",
"config_sentence_transformers.json",
"model.safetensors",
"modules.json",
"pytorch_model.bin",
"sentence_bert_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | null | null | null | 2023-10-12T03:35:59+00:00 | language:
- zh
license: mit | null | 64fff595990aaba7bb312c5e | BAAI/bge-small-zh-v1.5 |
BAAI/bge-reranker-large | BAAI | 55611d7bca2a7133960a6d3b71e083071bbfc312 | 2024-05-11T13:39:02+00:00 | 2023-09-12T07:39:18Z | false | False | null | 783,308 | null | 387 | transformers | null | null | null | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"xlm-roberta",
"text-classification",
"mteb",
"feature-extraction",
"en",
"zh",
"arxiv:2401.03462",
"arxiv:2312.15503",
"arxiv:2311.13534",
"arxiv:2310.07554",
"arxiv:2309.07597",
"license:mit",
"model-index",
"autotrain_compatible",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | feature-extraction | null | 3 | language:
- en
- zh
license: mit
pipeline_tag: feature-extraction
tags:
- mteb
model-index:
- name: bge-reranker-base
results:
- task:
type: Reranking
dataset:
name: MTEB CMedQAv1
type: C-MTEB/CMedQAv1-reranking
config: default
split: test
revision: None
metrics:
- type: map
value: 81.27206722525007
verified: false
- type: mrr
value: 84.14238095238095
verified: false
- task:
type: Reranking
dataset:
name: MTEB CMedQAv2
type: C-MTEB/CMedQAv2-reranking
config: default
split: test
revision: None
metrics:
- type: map
value: 84.10369934291236
verified: false
- type: mrr
value: 86.79376984126984
verified: false
- task:
type: Reranking
dataset:
name: MTEB MMarcoReranking
type: C-MTEB/Mmarco-reranking
config: default
split: dev
revision: None
metrics:
- type: map
value: 35.4600511272538
verified: false
- type: mrr
value: 34.60238095238095
verified: false
- task:
type: Reranking
dataset:
name: MTEB T2Reranking
type: C-MTEB/T2Reranking
config: default
split: dev
revision: None
metrics:
- type: map
value: 67.27728847727172
verified: false
- type: mrr
value: 77.1315192743764
verified: false | null | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"onnx/model.onnx",
"onnx/model.onnx_data",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | null | null | null | 2024-05-11T13:39:02+00:00 | language:
- en
- zh
license: mit
pipeline_tag: feature-extraction
tags:
- mteb
model-index:
- name: bge-reranker-base
results:
- task:
type: Reranking
dataset:
name: MTEB CMedQAv1
type: C-MTEB/CMedQAv1-reranking
config: default
split: test
revision: None
metrics:
- type: map
value: 81.27206722525007
verified: false
- type: mrr
value: 84.14238095238095
verified: false
- task:
type: Reranking
dataset:
name: MTEB CMedQAv2
type: C-MTEB/CMedQAv2-reranking
config: default
split: test
revision: None
metrics:
- type: map
value: 84.10369934291236
verified: false
- type: mrr
value: 86.79376984126984
verified: false
- task:
type: Reranking
dataset:
name: MTEB MMarcoReranking
type: C-MTEB/Mmarco-reranking
config: default
split: dev
revision: None
metrics:
- type: map
value: 35.4600511272538
verified: false
- type: mrr
value: 34.60238095238095
verified: false
- task:
type: Reranking
dataset:
name: MTEB T2Reranking
type: C-MTEB/T2Reranking
config: default
split: dev
revision: None
metrics:
- type: map
value: 67.27728847727172
verified: false
- type: mrr
value: 77.1315192743764
verified: false | null | 650015a612c1442d9930ad41 | BAAI/bge-reranker-large |
AdaptLLM/law-LLM | AdaptLLM | 8266160df49b1295f2ad20ad67351bcdb9591c7a | 2024-12-02T06:25:22+00:00 | 2023-09-18T13:44:51Z | false | False | null | 402 | null | 76 | transformers | null | not-popular-enough | null | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"legal",
"en",
"dataset:Open-Orca/OpenOrca",
"dataset:GAIR/lima",
"dataset:WizardLM/WizardLM_evol_instruct_V2_196k",
"dataset:EleutherAI/pile",
"arxiv:2309.09530",
"arxiv:2411.19930",
"arxiv:2406.14491",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | null | 3 | datasets:
- Open-Orca/OpenOrca
- GAIR/lima
- WizardLM/WizardLM_evol_instruct_V2_196k
- EleutherAI/pile
language:
- en
metrics:
- accuracy
pipeline_tag: text-generation
tags:
- legal | null | null | null | null | [
".gitattributes",
"README.md",
"comparison.png",
"config.json",
"generation_config.json",
"model-00001-of-00033.safetensors",
"model-00002-of-00033.safetensors",
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"pytorch_model-00003-of-00033.bin",
"pytorch_model-00004-of-00033.bin",
"pytorch_model-00005-of-00033.bin",
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"pytorch_model-00007-of-00033.bin",
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"pytorch_model-00017-of-00033.bin",
"pytorch_model-00018-of-00033.bin",
"pytorch_model-00019-of-00033.bin",
"pytorch_model-00020-of-00033.bin",
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"pytorch_model-00022-of-00033.bin",
"pytorch_model-00023-of-00033.bin",
"pytorch_model-00024-of-00033.bin",
"pytorch_model-00025-of-00033.bin",
"pytorch_model-00026-of-00033.bin",
"pytorch_model-00027-of-00033.bin",
"pytorch_model-00028-of-00033.bin",
"pytorch_model-00029-of-00033.bin",
"pytorch_model-00030-of-00033.bin",
"pytorch_model-00031-of-00033.bin",
"pytorch_model-00032-of-00033.bin",
"pytorch_model-00033-of-00033.bin",
"pytorch_model.bin.index.json",
"special_tokens_map.json",
"tokenizer.model",
"tokenizer_config.json"
] | null | null | null | 2024-12-02T06:25:22+00:00 | datasets:
- Open-Orca/OpenOrca
- GAIR/lima
- WizardLM/WizardLM_evol_instruct_V2_196k
- EleutherAI/pile
language:
- en
metrics:
- accuracy
pipeline_tag: text-generation
tags:
- legal | null | 65085453dacc94cd6c379d52 | AdaptLLM/law-LLM |
ayoubkirouane/BERT-Emotions-Classifier | ayoubkirouane | 244e0aa1b839d3c1b4d1f962f5baea341f3fd08f | 2023-09-23T21:35:59+00:00 | 2023-09-23T18:47:29Z | false | False | null | 18,400 | null | 15 | transformers | null | cold | null | [
"transformers",
"pytorch",
"bert",
"text-classification",
"en",
"dataset:sem_eval_2018_task_1",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | null | 3 | datasets:
- sem_eval_2018_task_1
language:
- en
library_name: transformers
pipeline_tag: text-classification | null | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | null | null | null | 2023-09-23T21:35:59+00:00 | datasets:
- sem_eval_2018_task_1
language:
- en
library_name: transformers
pipeline_tag: text-classification | null | 650f32c1bfb7dd98bbca4347 | ayoubkirouane/BERT-Emotions-Classifier |
SimianLuo/LCM_Dreamshaper_v7 | SimianLuo | a85df6a8bd976cdd08b4fd8f3b73f229c9e54df5 | 2024-03-05T08:32:22+00:00 | 2023-10-14T08:26:52Z | false | False | null | 374,955 | null | 399 | diffusers | null | loading | null | [
"diffusers",
"onnx",
"safetensors",
"text-to-image",
"en",
"arxiv:2310.04378",
"license:mit",
"diffusers:LatentConsistencyModelPipeline",
"region:us"
] | text-to-image | null | 3 | language:
- en
license: mit
pipeline_tag: text-to-image
tags:
- text-to-image | null | null | null | null | [
".gitattributes",
"LCM_Dreamshaper_v7_4k.safetensors",
"README.md",
"feature_extractor/preprocessor_config.json",
"inference.py",
"lcm_pipeline.py",
"lcm_scheduler.py",
"model_index.json",
"safety_checker/config.json",
"safety_checker/model.safetensors",
"scheduler/scheduler_config.json",
"speed_fid.png",
"teaser.png",
"text_encoder/config.json",
"text_encoder/model.onnx",
"text_encoder/model.safetensors",
"tokenizer/merges.txt",
"tokenizer/special_tokens_map.json",
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"vae_decoder/config.json",
"vae_decoder/model.onnx",
"vae_encoder/config.json",
"vae_encoder/model.onnx"
] | null | null | null | 2024-03-05T08:32:22+00:00 | language:
- en
license: mit
pipeline_tag: text-to-image
tags:
- text-to-image | null | 652a50cc2ecb5062d69ad48e | SimianLuo/LCM_Dreamshaper_v7 |
cagliostrolab/animagine-xl-3.0 | cagliostrolab | e30742b3cf910de495927f109cd88046245ea686 | 2024-07-18T06:24:29+00:00 | 2023-11-23T03:57:11Z | false | False | null | 849,347 | null | 776 | diffusers | null | warm | null | [
"diffusers",
"safetensors",
"text-to-image",
"stable-diffusion",
"stable-diffusion-xl",
"en",
"base_model:Linaqruf/animagine-xl-2.0",
"base_model:finetune:Linaqruf/animagine-xl-2.0",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | null | 3 | base_model: Linaqruf/animagine-xl-2.0
language:
- en
license: other
license_name: faipl-1.0-sd
license_link: https://freedevproject.org/faipl-1.0-sd/
tags:
- text-to-image
- stable-diffusion
- safetensors
- stable-diffusion-xl
widget:
- text: 1girl, green hair, sweater, looking at viewer, upper body, beanie, outdoors,
night, turtleneck, masterpiece, best quality
parameter:
negative_prompt: nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers,
extra digit, fewer digits, cropped, worst quality, low quality, normal quality,
jpeg artifacts, signature, watermark, username, blurry, artist name
example_title: 1girl
- text: 1boy, male focus, green hair, sweater, looking at viewer, upper body, beanie,
outdoors, night, turtleneck, masterpiece, best quality
parameter:
negative_prompt: nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers,
extra digit, fewer digits, cropped, worst quality, low quality, normal quality,
jpeg artifacts, signature, watermark, username, blurry, artist name
example_title: 1boy | null | null | null | null | [
".gitattributes",
"README.md",
"animagine-xl-3.0.safetensors",
"model_index.json",
"scheduler/scheduler_config.json",
"text_encoder/config.json",
"text_encoder/model.safetensors",
"text_encoder_2/config.json",
"text_encoder_2/model.safetensors",
"tokenizer/merges.txt",
"tokenizer/special_tokens_map.json",
"tokenizer/tokenizer_config.json",
"tokenizer/vocab.json",
"tokenizer_2/merges.txt",
"tokenizer_2/special_tokens_map.json",
"tokenizer_2/tokenizer_config.json",
"tokenizer_2/vocab.json",
"unet/config.json",
"unet/diffusion_pytorch_model.safetensors",
"vae/config.json",
"vae/diffusion_pytorch_model.safetensors"
] | null | null | null | 2024-07-18T06:24:29+00:00 | base_model: Linaqruf/animagine-xl-2.0
language:
- en
license: other
license_name: faipl-1.0-sd
license_link: https://freedevproject.org/faipl-1.0-sd/
tags:
- text-to-image
- stable-diffusion
- safetensors
- stable-diffusion-xl
widget:
- text: 1girl, green hair, sweater, looking at viewer, upper body, beanie, outdoors,
night, turtleneck, masterpiece, best quality
parameter:
negative_prompt: nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers,
extra digit, fewer digits, cropped, worst quality, low quality, normal quality,
jpeg artifacts, signature, watermark, username, blurry, artist name
example_title: 1girl
- text: 1boy, male focus, green hair, sweater, looking at viewer, upper body, beanie,
outdoors, night, turtleneck, masterpiece, best quality
parameter:
negative_prompt: nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers,
extra digit, fewer digits, cropped, worst quality, low quality, normal quality,
jpeg artifacts, signature, watermark, username, blurry, artist name
example_title: 1boy | null | 655ecd97e1b6d15cfe8fec10 | cagliostrolab/animagine-xl-3.0 |
mistralai/Mixtral-8x7B-Instruct-v0.1 | mistralai | 41bd4c9e7e4fb318ca40e721131d4933966c2cc1 | 2024-08-19T13:18:42+00:00 | 2023-12-10T18:47:12Z | false | auto | null | 534,412 | null | 4,355 | transformers | null | warm | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"conversational",
"fr",
"it",
"de",
"es",
"en",
"base_model:mistralai/Mixtral-8x7B-v0.1",
"base_model:finetune:mistralai/Mixtral-8x7B-v0.1",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | null | 3 | base_model: mistralai/Mixtral-8x7B-v0.1
language:
- fr
- it
- de
- es
- en
license: apache-2.0
inference:
parameters:
temperature: 0.5
widget:
- messages:
- role: user
content: What is your favorite condiment?
extra_gated_description: If you want to learn more about how we process your personal
data, please read our <a href="https://mistral.ai/terms/">Privacy Policy</a>. | null | null | null | null | [
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"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | null | null | null | 2024-08-19T13:18:42+00:00 | base_model: mistralai/Mixtral-8x7B-v0.1
language:
- fr
- it
- de
- es
- en
license: apache-2.0
inference:
parameters:
temperature: 0.5
widget:
- messages:
- role: user
content: What is your favorite condiment?
extra_gated_description: If you want to learn more about how we process your personal
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license: apache-2.0 | null | 657a503b57c26133131e7d31 | cognitivecomputations/dolphin-2.5-mixtral-8x7b |
ntc-ai/SDXL-LoRA-slider.Studio-Ghibli-style | ntc-ai | 20e726ddd3611023df7b973d96106e80127c8f16 | 2024-02-06T00:33:20+00:00 | 2023-12-15T13:29:32Z | false | False | null | 154 | null | 9 | diffusers | null | explicit-opt-out | null | [
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WhiteRabbitNeo/WhiteRabbitNeo-13B-v1 | WhiteRabbitNeo | 5ecae8d533223436512e31edc3f56bced00265f1 | 2024-02-15T17:03:54+00:00 | 2023-12-17T16:26:55Z | false | False | null | 2,808 | null | 418 | transformers | null | null | null | [
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knowledgator/comprehend_it-base | knowledgator | 93ca76021cba51eeb01af3aec9f1be6a134ed8b7 | 2025-03-24T09:59:51+00:00 | 2023-12-23T17:11:27Z | false | False | null | 3,632 | null | 78 | transformers | null | null | null | [
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myshell-ai/OpenVoice | myshell-ai | c70fc8b939bd1d8213994ff7c88e32be39708271 | 2024-12-24T19:19:15+00:00 | 2024-01-02T13:16:15Z | false | False | null | 0 | null | 442 | null | null | explicit-opt-out | null | [
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tags:
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tags:
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universitytehran/PersianMind-v1.0 | universitytehran | af603eeb074138e2a613fbc95d89f018afbd3041 | 2024-09-05T17:30:41+00:00 | 2024-01-03T05:27:59Z | false | False | null | 9,100 | null | 59 | transformers | null | explicit-opt-out | null | [
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license: cc-by-nc-sa-4.0
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hardware_used: 4 RTX3090 24GB GPUs
geographical_location: Tehran, Iran | null | null | null | null | [
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MahmoodLab/CONCH | MahmoodLab | f9ca9f877171a28ade80228fb195ac5d79003357 | 2024-05-05T06:05:43+00:00 | 2024-01-05T00:50:22Z | false | auto | null | 9,763 | null | 105 | timm | null | pipeline-library-pair-not-supported | null | [
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approval. Further details included in the model card. '
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nashikone/iroiroLoRA | nashikone | 32fa3bf506326e66f176e9d6887b4d4feb9031e1 | 2025-03-30T12:24:23+00:00 | 2024-01-27T10:35:00Z | false | False | null | 0 | null | 116 | null | null | null | null | [
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pipeline_tag: text-to-image
prior:
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ashawkey/LGM | ashawkey | 1a966e6bf1b6537c7a24ef616bcafbd9ad1d0e53 | 2024-06-03T09:47:14+00:00 | 2024-02-07T02:14:45Z | false | False | null | 0 | null | 127 | null | null | library-not-detected | null | [
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RunDiffusion/Juggernaut-XL-v9 | RunDiffusion | b2d4ff8089889ad0a63a2f93a14e2cf6059bfdbb | 2024-12-11T19:56:01+00:00 | 2024-02-18T21:05:03Z | false | False | null | 194,647 | null | 189 | diffusers | null | cold | null | [
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thumbnail: https://imagedelivery.net/siANnpeNAc_S2q1M3-eDrA/c200a026-c151-49c7-afbc-241fe943b300/padthumb | null | null | null | null | [
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Qwen/Qwen1.5-MoE-A2.7B | Qwen | 1a758c50ecb6350748b9ce0a99d2352fd9fc11c9 | 2024-04-18T11:58:22+00:00 | 2024-02-29T04:52:16Z | false | False | null | 16,555 | null | 202 | transformers | null | not-popular-enough | null | [
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deepseek-ai/deepseek-vl-7b-base | deepseek-ai | 4e35567f371049b36cfe9baf8029cbd008372a91 | 2024-03-15T07:04:43+00:00 | 2024-03-07T07:48:34Z | false | False | null | 1,513 | null | 57 | transformers | null | pipeline-not-detected | null | [
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mixedbread-ai/mxbai-embed-large-v1 | mixedbread-ai | db9d1fe0f31addb4978201b2bf3e577f3f8900d2 | 2025-03-13T04:15:03+00:00 | 2024-03-07T15:45:34Z | false | False | null | 2,617,298 | null | 644 | sentence-transformers | null | null | null | [
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library_name: sentence-transformers
license: apache-2.0
pipeline_tag: feature-extraction
tags:
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model-index:
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results:
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dataset:
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config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
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dataset:
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type: mteb/amazon_polarity
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
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value: 90.93190875404055
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value: 93.8297833897293
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dataset:
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type: mteb/amazon_reviews_multi
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
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value: 48.74163227751588
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dataset:
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type: arguana
config: default
split: test
revision: None
metrics:
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value: 57.778
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value: 58.233000000000004
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value: 53.449999999999996
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value: 56.376000000000005
verified: false
- type: mrr_at_1
value: 41.679
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value: 57.92699999999999
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- type: mrr_at_100
value: 58.389
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- type: mrr_at_1000
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value: 53.651
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value: 56.521
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- type: ndcg_at_10
value: 66.018
verified: false
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value: 67.774
verified: false
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value: 67.84400000000001
verified: false
- type: ndcg_at_3
value: 57.372
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- type: ndcg_at_5
value: 62.646
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- type: precision_at_1
value: 41.252
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- type: precision_at_10
value: 9.189
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- type: precision_at_100
value: 0.991
verified: false
- type: precision_at_1000
value: 0.1
verified: false
- type: precision_at_3
value: 22.902
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- type: precision_at_5
value: 16.302
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- type: recall_at_1
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- type: recall_at_10
value: 91.892
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- type: recall_at_100
value: 99.14699999999999
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- type: recall_at_1000
value: 99.644
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- type: recall_at_3
value: 68.706
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- type: recall_at_5
value: 81.50800000000001
verified: false
- task:
type: Clustering
dataset:
name: MTEB ArxivClusteringP2P
type: mteb/arxiv-clustering-p2p
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
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value: 48.97294504317859
verified: false
- task:
type: Clustering
dataset:
name: MTEB ArxivClusteringS2S
type: mteb/arxiv-clustering-s2s
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
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value: 42.98071077674629
verified: false
- task:
type: Reranking
dataset:
name: MTEB AskUbuntuDupQuestions
type: mteb/askubuntudupquestions-reranking
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
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value: 65.16477858490782
verified: false
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value: 78.23583080508287
verified: false
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type: STS
dataset:
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type: mteb/biosses-sts
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
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verified: false
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value: 88.4056288400568
verified: false
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verified: false
- type: euclidean_spearman
value: 88.4056288400568
verified: false
- type: manhattan_pearson
value: 87.73271254229648
verified: false
- type: manhattan_spearman
value: 87.91826833762677
verified: false
- task:
type: Classification
dataset:
name: MTEB Banking77Classification
type: mteb/banking77
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
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verified: false
- type: f1
value: 87.79879337316918
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- task:
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dataset:
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type: mteb/biorxiv-clustering-p2p
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
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value: 39.91773608582761
verified: false
- task:
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dataset:
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type: mteb/biorxiv-clustering-s2s
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
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verified: false
- task:
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dataset:
name: MTEB CQADupstackAndroidRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: None
metrics:
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value: 43.632
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value: 45.206
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value: 50.294000000000004
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- type: mrr_at_3
value: 46.757
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- type: mrr_at_5
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- type: ndcg_at_1
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- type: precision_at_1
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- type: precision_at_1000
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- type: precision_at_3
value: 21.412
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- type: precision_at_5
value: 15.479000000000001
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- type: recall_at_1
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- type: recall_at_10
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- type: recall_at_100
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- type: recall_at_1000
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- type: recall_at_3
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- type: recall_at_5
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- type: map_at_1
value: 31.898
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- type: map_at_10
value: 42.142
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- type: map_at_100
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- type: map_at_1000
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- type: map_at_3
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- type: ndcg_at_100
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- type: ndcg_at_1000
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- type: ndcg_at_3
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- type: ndcg_at_5
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- type: precision_at_1
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- type: precision_at_10
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- type: precision_at_100
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verified: false
- type: precision_at_1000
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verified: false
- type: precision_at_3
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verified: false
- type: precision_at_5
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verified: false
- type: recall_at_1
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- type: recall_at_10
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- type: recall_at_100
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verified: false
- type: recall_at_1000
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- type: recall_at_3
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verified: false
- type: recall_at_5
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- type: map_at_1
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- type: map_at_1000
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- type: map_at_3
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- type: map_at_5
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- type: mrr_at_100
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- type: mrr_at_1000
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- type: mrr_at_3
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- type: ndcg_at_1000
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- type: precision_at_100
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- type: precision_at_1000
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- type: precision_at_5
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- type: recall_at_100
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verified: false
- type: recall_at_1000
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- type: recall_at_5
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- type: map_at_1
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- type: map_at_5
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- type: mrr_at_10
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- type: mrr_at_100
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- type: mrr_at_1000
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- type: mrr_at_3
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- type: mrr_at_5
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- type: ndcg_at_1
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- type: precision_at_100
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- type: precision_at_1000
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verified: false
- type: precision_at_3
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- type: precision_at_5
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- type: recall_at_1
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- type: recall_at_10
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- type: recall_at_100
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verified: false
- type: recall_at_1000
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- type: recall_at_3
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verified: false
- type: recall_at_5
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verified: false
- type: map_at_1
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- type: map_at_100
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- type: map_at_1000
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- type: map_at_3
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- type: map_at_5
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- type: mrr_at_10
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- type: mrr_at_100
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- type: mrr_at_1000
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- type: mrr_at_3
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verified: false
- type: mrr_at_5
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- type: ndcg_at_1
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- type: ndcg_at_100
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- type: ndcg_at_1000
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- type: precision_at_100
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- type: precision_at_1000
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- type: precision_at_3
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verified: false
- type: precision_at_5
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- type: recall_at_1
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- type: recall_at_10
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verified: false
- type: recall_at_100
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verified: false
- type: recall_at_1000
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- type: recall_at_3
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- type: recall_at_5
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verified: false
- type: map_at_1
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- type: map_at_1000
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- type: ndcg_at_1000
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- type: precision_at_3
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- type: precision_at_5
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- type: recall_at_10
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- type: recall_at_100
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- type: recall_at_1000
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- type: recall_at_3
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- type: recall_at_5
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- type: map_at_1
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- type: map_at_10
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- type: map_at_100
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- type: map_at_1000
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- type: map_at_3
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- type: map_at_5
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- type: mrr_at_1
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- type: mrr_at_10
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- type: mrr_at_100
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- type: mrr_at_1000
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- type: mrr_at_3
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- type: mrr_at_5
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- type: ndcg_at_1
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verified: false
- type: ndcg_at_10
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verified: false
- type: ndcg_at_100
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- type: ndcg_at_1000
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- type: ndcg_at_3
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- type: ndcg_at_5
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- type: precision_at_100
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- type: precision_at_1000
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- type: precision_at_3
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- type: precision_at_5
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- type: recall_at_1
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- type: recall_at_100
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- type: recall_at_1000
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- type: recall_at_3
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- type: recall_at_5
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- type: map_at_1
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- type: map_at_3
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- type: mrr_at_1
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- type: recall_at_1000
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- type: recall_at_3
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- type: recall_at_5
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- type: map_at_1
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- type: map_at_10
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- type: map_at_1000
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- type: map_at_3
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- type: map_at_5
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- type: mrr_at_100
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- type: mrr_at_1000
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- type: mrr_at_3
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- type: mrr_at_5
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- type: ndcg_at_1
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- type: ndcg_at_100
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- type: ndcg_at_1000
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verified: false
- type: ndcg_at_3
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verified: false
- type: ndcg_at_5
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verified: false
- type: precision_at_1
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- type: precision_at_10
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verified: false
- type: precision_at_100
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verified: false
- type: precision_at_1000
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verified: false
- type: precision_at_3
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verified: false
- type: precision_at_5
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- type: recall_at_1
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- type: recall_at_10
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- type: recall_at_100
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- type: recall_at_1000
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- type: recall_at_3
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- type: recall_at_5
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- type: map_at_1
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- type: map_at_1000
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- type: map_at_3
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- type: map_at_5
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- type: mrr_at_1
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- type: mrr_at_10
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- type: mrr_at_100
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- type: mrr_at_1000
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- type: mrr_at_3
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- type: mrr_at_5
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- type: ndcg_at_1
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- type: ndcg_at_100
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- type: ndcg_at_1000
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- type: precision_at_10
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- type: precision_at_1000
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- type: precision_at_3
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- type: recall_at_1000
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- type: map_at_5
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- type: mrr_at_100
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- type: mrr_at_1000
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- type: mrr_at_3
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- type: ndcg_at_1000
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- type: precision_at_100
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- type: precision_at_1000
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- type: precision_at_3
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- type: precision_at_5
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- type: recall_at_1
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- type: recall_at_10
value: 49.85
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- type: recall_at_100
value: 78.457
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- type: recall_at_1000
value: 92.618
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- type: recall_at_3
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- type: recall_at_5
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verified: false
- type: map_at_1
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- type: map_at_3
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- type: map_at_5
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- type: mrr_at_1
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- type: mrr_at_10
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- type: mrr_at_100
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- type: mrr_at_1000
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- type: mrr_at_3
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- type: mrr_at_5
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- type: ndcg_at_1
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- type: ndcg_at_100
value: 38.477
verified: false
- type: ndcg_at_1000
value: 41.088
verified: false
- type: ndcg_at_3
value: 29.486
verified: false
- type: ndcg_at_5
value: 31.612000000000002
verified: false
- type: precision_at_1
value: 22.366
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- type: precision_at_10
value: 5.3420000000000005
verified: false
- type: precision_at_100
value: 0.828
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- type: precision_at_1000
value: 0.11800000000000001
verified: false
- type: precision_at_3
value: 12.939
verified: false
- type: precision_at_5
value: 9.094
verified: false
- type: recall_at_1
value: 20.591
verified: false
- type: recall_at_10
value: 46.052
verified: false
- type: recall_at_100
value: 68.193
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- type: recall_at_1000
value: 87.638
verified: false
- type: recall_at_3
value: 34.966
verified: false
- type: recall_at_5
value: 40.082
verified: false
- task:
type: Retrieval
dataset:
name: MTEB ClimateFEVER
type: climate-fever
config: default
split: test
revision: None
metrics:
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value: 15.091
verified: false
- type: map_at_10
value: 26.38
verified: false
- type: map_at_100
value: 28.421999999999997
verified: false
- type: map_at_1000
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verified: false
- type: map_at_3
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verified: false
- type: map_at_5
value: 24.12
verified: false
- type: mrr_at_1
value: 34.266999999999996
verified: false
- type: mrr_at_10
value: 46.864
verified: false
- type: mrr_at_100
value: 47.617
verified: false
- type: mrr_at_1000
value: 47.644
verified: false
- type: mrr_at_3
value: 43.312
verified: false
- type: mrr_at_5
value: 45.501000000000005
verified: false
- type: ndcg_at_1
value: 34.266999999999996
verified: false
- type: ndcg_at_10
value: 36.095
verified: false
- type: ndcg_at_100
value: 43.447
verified: false
- type: ndcg_at_1000
value: 46.661
verified: false
- type: ndcg_at_3
value: 29.337999999999997
verified: false
- type: ndcg_at_5
value: 31.824
verified: false
- type: precision_at_1
value: 34.266999999999996
verified: false
- type: precision_at_10
value: 11.472
verified: false
- type: precision_at_100
value: 1.944
verified: false
- type: precision_at_1000
value: 0.255
verified: false
- type: precision_at_3
value: 21.933
verified: false
- type: precision_at_5
value: 17.224999999999998
verified: false
- type: recall_at_1
value: 15.091
verified: false
- type: recall_at_10
value: 43.022
verified: false
- type: recall_at_100
value: 68.075
verified: false
- type: recall_at_1000
value: 85.76
verified: false
- type: recall_at_3
value: 26.564
verified: false
- type: recall_at_5
value: 33.594
verified: false
- task:
type: Retrieval
dataset:
name: MTEB DBPedia
type: dbpedia-entity
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 9.252
verified: false
- type: map_at_10
value: 20.923
verified: false
- type: map_at_100
value: 30.741000000000003
verified: false
- type: map_at_1000
value: 32.542
verified: false
- type: map_at_3
value: 14.442
verified: false
- type: map_at_5
value: 17.399
verified: false
- type: mrr_at_1
value: 70.25
verified: false
- type: mrr_at_10
value: 78.17
verified: false
- type: mrr_at_100
value: 78.444
verified: false
- type: mrr_at_1000
value: 78.45100000000001
verified: false
- type: mrr_at_3
value: 76.958
verified: false
- type: mrr_at_5
value: 77.571
verified: false
- type: ndcg_at_1
value: 58.375
verified: false
- type: ndcg_at_10
value: 44.509
verified: false
- type: ndcg_at_100
value: 49.897999999999996
verified: false
- type: ndcg_at_1000
value: 57.269999999999996
verified: false
- type: ndcg_at_3
value: 48.64
verified: false
- type: ndcg_at_5
value: 46.697
verified: false
- type: precision_at_1
value: 70.25
verified: false
- type: precision_at_10
value: 36.05
verified: false
- type: precision_at_100
value: 11.848
verified: false
- type: precision_at_1000
value: 2.213
verified: false
- type: precision_at_3
value: 52.917
verified: false
- type: precision_at_5
value: 45.7
verified: false
- type: recall_at_1
value: 9.252
verified: false
- type: recall_at_10
value: 27.006999999999998
verified: false
- type: recall_at_100
value: 57.008
verified: false
- type: recall_at_1000
value: 80.697
verified: false
- type: recall_at_3
value: 15.798000000000002
verified: false
- type: recall_at_5
value: 20.4
verified: false
- task:
type: Classification
dataset:
name: MTEB EmotionClassification
type: mteb/emotion
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 50.88
verified: false
- type: f1
value: 45.545495028653384
verified: false
- task:
type: Retrieval
dataset:
name: MTEB FEVER
type: fever
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 75.424
verified: false
- type: map_at_10
value: 83.435
verified: false
- type: map_at_100
value: 83.66900000000001
verified: false
- type: map_at_1000
value: 83.685
verified: false
- type: map_at_3
value: 82.39800000000001
verified: false
- type: map_at_5
value: 83.07
verified: false
- type: mrr_at_1
value: 81.113
verified: false
- type: mrr_at_10
value: 87.77199999999999
verified: false
- type: mrr_at_100
value: 87.862
verified: false
- type: mrr_at_1000
value: 87.86500000000001
verified: false
- type: mrr_at_3
value: 87.17099999999999
verified: false
- type: mrr_at_5
value: 87.616
verified: false
- type: ndcg_at_1
value: 81.113
verified: false
- type: ndcg_at_10
value: 86.909
verified: false
- type: ndcg_at_100
value: 87.746
verified: false
- type: ndcg_at_1000
value: 88.017
verified: false
- type: ndcg_at_3
value: 85.368
verified: false
- type: ndcg_at_5
value: 86.28099999999999
verified: false
- type: precision_at_1
value: 81.113
verified: false
- type: precision_at_10
value: 10.363
verified: false
- type: precision_at_100
value: 1.102
verified: false
- type: precision_at_1000
value: 0.11399999999999999
verified: false
- type: precision_at_3
value: 32.507999999999996
verified: false
- type: precision_at_5
value: 20.138
verified: false
- type: recall_at_1
value: 75.424
verified: false
- type: recall_at_10
value: 93.258
verified: false
- type: recall_at_100
value: 96.545
verified: false
- type: recall_at_1000
value: 98.284
verified: false
- type: recall_at_3
value: 89.083
verified: false
- type: recall_at_5
value: 91.445
verified: false
- task:
type: Retrieval
dataset:
name: MTEB FiQA2018
type: fiqa
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 22.532
verified: false
- type: map_at_10
value: 37.141999999999996
verified: false
- type: map_at_100
value: 39.162
verified: false
- type: map_at_1000
value: 39.322
verified: false
- type: map_at_3
value: 32.885
verified: false
- type: map_at_5
value: 35.093999999999994
verified: false
- type: mrr_at_1
value: 44.29
verified: false
- type: mrr_at_10
value: 53.516
verified: false
- type: mrr_at_100
value: 54.24
verified: false
- type: mrr_at_1000
value: 54.273
verified: false
- type: mrr_at_3
value: 51.286
verified: false
- type: mrr_at_5
value: 52.413
verified: false
- type: ndcg_at_1
value: 44.29
verified: false
- type: ndcg_at_10
value: 45.268
verified: false
- type: ndcg_at_100
value: 52.125
verified: false
- type: ndcg_at_1000
value: 54.778000000000006
verified: false
- type: ndcg_at_3
value: 41.829
verified: false
- type: ndcg_at_5
value: 42.525
verified: false
- type: precision_at_1
value: 44.29
verified: false
- type: precision_at_10
value: 12.5
verified: false
- type: precision_at_100
value: 1.9720000000000002
verified: false
- type: precision_at_1000
value: 0.245
verified: false
- type: precision_at_3
value: 28.035
verified: false
- type: precision_at_5
value: 20.093
verified: false
- type: recall_at_1
value: 22.532
verified: false
- type: recall_at_10
value: 52.419000000000004
verified: false
- type: recall_at_100
value: 77.43299999999999
verified: false
- type: recall_at_1000
value: 93.379
verified: false
- type: recall_at_3
value: 38.629000000000005
verified: false
- type: recall_at_5
value: 43.858000000000004
verified: false
- task:
type: Retrieval
dataset:
name: MTEB HotpotQA
type: hotpotqa
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 39.359
verified: false
- type: map_at_10
value: 63.966
verified: false
- type: map_at_100
value: 64.87
verified: false
- type: map_at_1000
value: 64.92599999999999
verified: false
- type: map_at_3
value: 60.409
verified: false
- type: map_at_5
value: 62.627
verified: false
- type: mrr_at_1
value: 78.717
verified: false
- type: mrr_at_10
value: 84.468
verified: false
- type: mrr_at_100
value: 84.655
verified: false
- type: mrr_at_1000
value: 84.661
verified: false
- type: mrr_at_3
value: 83.554
verified: false
- type: mrr_at_5
value: 84.133
verified: false
- type: ndcg_at_1
value: 78.717
verified: false
- type: ndcg_at_10
value: 72.03399999999999
verified: false
- type: ndcg_at_100
value: 75.158
verified: false
- type: ndcg_at_1000
value: 76.197
verified: false
- type: ndcg_at_3
value: 67.049
verified: false
- type: ndcg_at_5
value: 69.808
verified: false
- type: precision_at_1
value: 78.717
verified: false
- type: precision_at_10
value: 15.201
verified: false
- type: precision_at_100
value: 1.764
verified: false
- type: precision_at_1000
value: 0.19
verified: false
- type: precision_at_3
value: 43.313
verified: false
- type: precision_at_5
value: 28.165000000000003
verified: false
- type: recall_at_1
value: 39.359
verified: false
- type: recall_at_10
value: 76.003
verified: false
- type: recall_at_100
value: 88.197
verified: false
- type: recall_at_1000
value: 95.003
verified: false
- type: recall_at_3
value: 64.97
verified: false
- type: recall_at_5
value: 70.41199999999999
verified: false
- task:
type: Classification
dataset:
name: MTEB ImdbClassification
type: mteb/imdb
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 92.83200000000001
verified: false
- type: ap
value: 89.33560571859861
verified: false
- type: f1
value: 92.82322915005167
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MSMARCO
type: msmarco
config: default
split: dev
revision: None
metrics:
- type: map_at_1
value: 21.983
verified: false
- type: map_at_10
value: 34.259
verified: false
- type: map_at_100
value: 35.432
verified: false
- type: map_at_1000
value: 35.482
verified: false
- type: map_at_3
value: 30.275999999999996
verified: false
- type: map_at_5
value: 32.566
verified: false
- type: mrr_at_1
value: 22.579
verified: false
- type: mrr_at_10
value: 34.882999999999996
verified: false
- type: mrr_at_100
value: 35.984
verified: false
- type: mrr_at_1000
value: 36.028
verified: false
- type: mrr_at_3
value: 30.964999999999996
verified: false
- type: mrr_at_5
value: 33.245000000000005
verified: false
- type: ndcg_at_1
value: 22.564
verified: false
- type: ndcg_at_10
value: 41.258
verified: false
- type: ndcg_at_100
value: 46.824
verified: false
- type: ndcg_at_1000
value: 48.037
verified: false
- type: ndcg_at_3
value: 33.17
verified: false
- type: ndcg_at_5
value: 37.263000000000005
verified: false
- type: precision_at_1
value: 22.564
verified: false
- type: precision_at_10
value: 6.572
verified: false
- type: precision_at_100
value: 0.935
verified: false
- type: precision_at_1000
value: 0.104
verified: false
- type: precision_at_3
value: 14.130999999999998
verified: false
- type: precision_at_5
value: 10.544
verified: false
- type: recall_at_1
value: 21.983
verified: false
- type: recall_at_10
value: 62.775000000000006
verified: false
- type: recall_at_100
value: 88.389
verified: false
- type: recall_at_1000
value: 97.603
verified: false
- type: recall_at_3
value: 40.878
verified: false
- type: recall_at_5
value: 50.690000000000005
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPDomainClassification (en)
type: mteb/mtop_domain
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 93.95120839033288
verified: false
- type: f1
value: 93.73824125055208
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPIntentClassification (en)
type: mteb/mtop_intent
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 76.78978568171455
verified: false
- type: f1
value: 57.50180552858304
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveIntentClassification (en)
type: mteb/amazon_massive_intent
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 76.24411566913248
verified: false
- type: f1
value: 74.37851403532832
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (en)
type: mteb/amazon_massive_scenario
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 79.94620040349699
verified: false
- type: f1
value: 80.21293397970435
verified: false
- task:
type: Clustering
dataset:
name: MTEB MedrxivClusteringP2P
type: mteb/medrxiv-clustering-p2p
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 33.44403096245675
verified: false
- task:
type: Clustering
dataset:
name: MTEB MedrxivClusteringS2S
type: mteb/medrxiv-clustering-s2s
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 31.659594631336812
verified: false
- task:
type: Reranking
dataset:
name: MTEB MindSmallReranking
type: mteb/mind_small
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 32.53833075108798
verified: false
- type: mrr
value: 33.78840823218308
verified: false
- task:
type: Retrieval
dataset:
name: MTEB NFCorpus
type: nfcorpus
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 7.185999999999999
verified: false
- type: map_at_10
value: 15.193999999999999
verified: false
- type: map_at_100
value: 19.538
verified: false
- type: map_at_1000
value: 21.178
verified: false
- type: map_at_3
value: 11.208
verified: false
- type: map_at_5
value: 12.745999999999999
verified: false
- type: mrr_at_1
value: 48.916
verified: false
- type: mrr_at_10
value: 58.141
verified: false
- type: mrr_at_100
value: 58.656
verified: false
- type: mrr_at_1000
value: 58.684999999999995
verified: false
- type: mrr_at_3
value: 55.521
verified: false
- type: mrr_at_5
value: 57.239
verified: false
- type: ndcg_at_1
value: 47.059
verified: false
- type: ndcg_at_10
value: 38.644
verified: false
- type: ndcg_at_100
value: 36.272999999999996
verified: false
- type: ndcg_at_1000
value: 44.996
verified: false
- type: ndcg_at_3
value: 43.293
verified: false
- type: ndcg_at_5
value: 40.819
verified: false
- type: precision_at_1
value: 48.916
verified: false
- type: precision_at_10
value: 28.607
verified: false
- type: precision_at_100
value: 9.195
verified: false
- type: precision_at_1000
value: 2.225
verified: false
- type: precision_at_3
value: 40.454
verified: false
- type: precision_at_5
value: 34.985
verified: false
- type: recall_at_1
value: 7.185999999999999
verified: false
- type: recall_at_10
value: 19.654
verified: false
- type: recall_at_100
value: 37.224000000000004
verified: false
- type: recall_at_1000
value: 68.663
verified: false
- type: recall_at_3
value: 12.158
verified: false
- type: recall_at_5
value: 14.674999999999999
verified: false
- task:
type: Retrieval
dataset:
name: MTEB NQ
type: nq
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 31.552000000000003
verified: false
- type: map_at_10
value: 47.75
verified: false
- type: map_at_100
value: 48.728
verified: false
- type: map_at_1000
value: 48.754
verified: false
- type: map_at_3
value: 43.156
verified: false
- type: map_at_5
value: 45.883
verified: false
- type: mrr_at_1
value: 35.66
verified: false
- type: mrr_at_10
value: 50.269
verified: false
- type: mrr_at_100
value: 50.974
verified: false
- type: mrr_at_1000
value: 50.991
verified: false
- type: mrr_at_3
value: 46.519
verified: false
- type: mrr_at_5
value: 48.764
verified: false
- type: ndcg_at_1
value: 35.632000000000005
verified: false
- type: ndcg_at_10
value: 55.786
verified: false
- type: ndcg_at_100
value: 59.748999999999995
verified: false
- type: ndcg_at_1000
value: 60.339
verified: false
- type: ndcg_at_3
value: 47.292
verified: false
- type: ndcg_at_5
value: 51.766999999999996
verified: false
- type: precision_at_1
value: 35.632000000000005
verified: false
- type: precision_at_10
value: 9.267
verified: false
- type: precision_at_100
value: 1.149
verified: false
- type: precision_at_1000
value: 0.12
verified: false
- type: precision_at_3
value: 21.601
verified: false
- type: precision_at_5
value: 15.539
verified: false
- type: recall_at_1
value: 31.552000000000003
verified: false
- type: recall_at_10
value: 77.62400000000001
verified: false
- type: recall_at_100
value: 94.527
verified: false
- type: recall_at_1000
value: 98.919
verified: false
- type: recall_at_3
value: 55.898
verified: false
- type: recall_at_5
value: 66.121
verified: false
- task:
type: Retrieval
dataset:
name: MTEB QuoraRetrieval
type: quora
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 71.414
verified: false
- type: map_at_10
value: 85.37400000000001
verified: false
- type: map_at_100
value: 86.01100000000001
verified: false
- type: map_at_1000
value: 86.027
verified: false
- type: map_at_3
value: 82.562
verified: false
- type: map_at_5
value: 84.284
verified: false
- type: mrr_at_1
value: 82.24000000000001
verified: false
- type: mrr_at_10
value: 88.225
verified: false
- type: mrr_at_100
value: 88.324
verified: false
- type: mrr_at_1000
value: 88.325
verified: false
- type: mrr_at_3
value: 87.348
verified: false
- type: mrr_at_5
value: 87.938
verified: false
- type: ndcg_at_1
value: 82.24000000000001
verified: false
- type: ndcg_at_10
value: 88.97699999999999
verified: false
- type: ndcg_at_100
value: 90.16
verified: false
- type: ndcg_at_1000
value: 90.236
verified: false
- type: ndcg_at_3
value: 86.371
verified: false
- type: ndcg_at_5
value: 87.746
verified: false
- type: precision_at_1
value: 82.24000000000001
verified: false
- type: precision_at_10
value: 13.481000000000002
verified: false
- type: precision_at_100
value: 1.534
verified: false
- type: precision_at_1000
value: 0.157
verified: false
- type: precision_at_3
value: 37.86
verified: false
- type: precision_at_5
value: 24.738
verified: false
- type: recall_at_1
value: 71.414
verified: false
- type: recall_at_10
value: 95.735
verified: false
- type: recall_at_100
value: 99.696
verified: false
- type: recall_at_1000
value: 99.979
verified: false
- type: recall_at_3
value: 88.105
verified: false
- type: recall_at_5
value: 92.17999999999999
verified: false
- task:
type: Clustering
dataset:
name: MTEB RedditClustering
type: mteb/reddit-clustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 60.22146692057259
verified: false
- task:
type: Clustering
dataset:
name: MTEB RedditClusteringP2P
type: mteb/reddit-clustering-p2p
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 65.29273320614578
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SCIDOCS
type: scidocs
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 5.023
verified: false
- type: map_at_10
value: 14.161000000000001
verified: false
- type: map_at_100
value: 16.68
verified: false
- type: map_at_1000
value: 17.072000000000003
verified: false
- type: map_at_3
value: 9.763
verified: false
- type: map_at_5
value: 11.977
verified: false
- type: mrr_at_1
value: 24.8
verified: false
- type: mrr_at_10
value: 37.602999999999994
verified: false
- type: mrr_at_100
value: 38.618
verified: false
- type: mrr_at_1000
value: 38.659
verified: false
- type: mrr_at_3
value: 34.117
verified: false
- type: mrr_at_5
value: 36.082
verified: false
- type: ndcg_at_1
value: 24.8
verified: false
- type: ndcg_at_10
value: 23.316
verified: false
- type: ndcg_at_100
value: 32.613
verified: false
- type: ndcg_at_1000
value: 38.609
verified: false
- type: ndcg_at_3
value: 21.697
verified: false
- type: ndcg_at_5
value: 19.241
verified: false
- type: precision_at_1
value: 24.8
verified: false
- type: precision_at_10
value: 12.36
verified: false
- type: precision_at_100
value: 2.593
verified: false
- type: precision_at_1000
value: 0.402
verified: false
- type: precision_at_3
value: 20.767
verified: false
- type: precision_at_5
value: 17.34
verified: false
- type: recall_at_1
value: 5.023
verified: false
- type: recall_at_10
value: 25.069999999999997
verified: false
- type: recall_at_100
value: 52.563
verified: false
- type: recall_at_1000
value: 81.525
verified: false
- type: recall_at_3
value: 12.613
verified: false
- type: recall_at_5
value: 17.583
verified: false
- task:
type: STS
dataset:
name: MTEB SICK-R
type: mteb/sickr-sts
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 87.71506247604255
verified: false
- type: cos_sim_spearman
value: 82.91813463738802
verified: false
- type: euclidean_pearson
value: 85.5154616194479
verified: false
- type: euclidean_spearman
value: 82.91815254466314
verified: false
- type: manhattan_pearson
value: 85.5280917850374
verified: false
- type: manhattan_spearman
value: 82.92276537286398
verified: false
- task:
type: STS
dataset:
name: MTEB STS12
type: mteb/sts12-sts
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 87.43772054228462
verified: false
- type: cos_sim_spearman
value: 78.75750601716682
verified: false
- type: euclidean_pearson
value: 85.76074482955764
verified: false
- type: euclidean_spearman
value: 78.75651057223058
verified: false
- type: manhattan_pearson
value: 85.73390291701668
verified: false
- type: manhattan_spearman
value: 78.72699385957797
verified: false
- task:
type: STS
dataset:
name: MTEB STS13
type: mteb/sts13-sts
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 89.58144067172472
verified: false
- type: cos_sim_spearman
value: 90.3524512966946
verified: false
- type: euclidean_pearson
value: 89.71365391594237
verified: false
- type: euclidean_spearman
value: 90.35239632843408
verified: false
- type: manhattan_pearson
value: 89.66905421746478
verified: false
- type: manhattan_spearman
value: 90.31508211683513
verified: false
- task:
type: STS
dataset:
name: MTEB STS14
type: mteb/sts14-sts
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 87.77692637102102
verified: false
- type: cos_sim_spearman
value: 85.45710562643485
verified: false
- type: euclidean_pearson
value: 87.42456979928723
verified: false
- type: euclidean_spearman
value: 85.45709386240908
verified: false
- type: manhattan_pearson
value: 87.40754529526272
verified: false
- type: manhattan_spearman
value: 85.44834854173303
verified: false
- task:
type: STS
dataset:
name: MTEB STS15
type: mteb/sts15-sts
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 88.28491331695997
verified: false
- type: cos_sim_spearman
value: 89.62037029566964
verified: false
- type: euclidean_pearson
value: 89.02479391362826
verified: false
- type: euclidean_spearman
value: 89.62036733618466
verified: false
- type: manhattan_pearson
value: 89.00394756040342
verified: false
- type: manhattan_spearman
value: 89.60867744215236
verified: false
- task:
type: STS
dataset:
name: MTEB STS16
type: mteb/sts16-sts
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 85.08911381280191
verified: false
- type: cos_sim_spearman
value: 86.5791780765767
verified: false
- type: euclidean_pearson
value: 86.16063473577861
verified: false
- type: euclidean_spearman
value: 86.57917745378766
verified: false
- type: manhattan_pearson
value: 86.13677924604175
verified: false
- type: manhattan_spearman
value: 86.56115615768685
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (en-en)
type: mteb/sts17-crosslingual-sts
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 89.58029496205235
verified: false
- type: cos_sim_spearman
value: 89.49551253826998
verified: false
- type: euclidean_pearson
value: 90.13714840963748
verified: false
- type: euclidean_spearman
value: 89.49551253826998
verified: false
- type: manhattan_pearson
value: 90.13039633601363
verified: false
- type: manhattan_spearman
value: 89.4513453745516
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (en)
type: mteb/sts22-crosslingual-sts
config: en
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics:
- type: cos_sim_pearson
value: 69.01546399666435
verified: false
- type: cos_sim_spearman
value: 69.33824484595624
verified: false
- type: euclidean_pearson
value: 70.76511642998874
verified: false
- type: euclidean_spearman
value: 69.33824484595624
verified: false
- type: manhattan_pearson
value: 70.84320785047453
verified: false
- type: manhattan_spearman
value: 69.54233632223537
verified: false
- task:
type: STS
dataset:
name: MTEB STSBenchmark
type: mteb/stsbenchmark-sts
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 87.26389196390119
verified: false
- type: cos_sim_spearman
value: 89.09721478341385
verified: false
- type: euclidean_pearson
value: 88.97208685922517
verified: false
- type: euclidean_spearman
value: 89.09720927308881
verified: false
- type: manhattan_pearson
value: 88.97513670502573
verified: false
- type: manhattan_spearman
value: 89.07647853984004
verified: false
- task:
type: Reranking
dataset:
name: MTEB SciDocsRR
type: mteb/scidocs-reranking
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 87.53075025771936
verified: false
- type: mrr
value: 96.24327651288436
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SciFact
type: scifact
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 60.428000000000004
verified: false
- type: map_at_10
value: 70.088
verified: false
- type: map_at_100
value: 70.589
verified: false
- type: map_at_1000
value: 70.614
verified: false
- type: map_at_3
value: 67.191
verified: false
- type: map_at_5
value: 68.515
verified: false
- type: mrr_at_1
value: 63.333
verified: false
- type: mrr_at_10
value: 71.13000000000001
verified: false
- type: mrr_at_100
value: 71.545
verified: false
- type: mrr_at_1000
value: 71.569
verified: false
- type: mrr_at_3
value: 68.944
verified: false
- type: mrr_at_5
value: 70.078
verified: false
- type: ndcg_at_1
value: 63.333
verified: false
- type: ndcg_at_10
value: 74.72800000000001
verified: false
- type: ndcg_at_100
value: 76.64999999999999
verified: false
- type: ndcg_at_1000
value: 77.176
verified: false
- type: ndcg_at_3
value: 69.659
verified: false
- type: ndcg_at_5
value: 71.626
verified: false
- type: precision_at_1
value: 63.333
verified: false
- type: precision_at_10
value: 10
verified: false
- type: precision_at_100
value: 1.09
verified: false
- type: precision_at_1000
value: 0.11299999999999999
verified: false
- type: precision_at_3
value: 27.111
verified: false
- type: precision_at_5
value: 17.666999999999998
verified: false
- type: recall_at_1
value: 60.428000000000004
verified: false
- type: recall_at_10
value: 87.98899999999999
verified: false
- type: recall_at_100
value: 96.167
verified: false
- type: recall_at_1000
value: 100
verified: false
- type: recall_at_3
value: 74.006
verified: false
- type: recall_at_5
value: 79.05
verified: false
- task:
type: PairClassification
dataset:
name: MTEB SprintDuplicateQuestions
type: mteb/sprintduplicatequestions-pairclassification
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.87326732673267
verified: false
- type: cos_sim_ap
value: 96.81770773701805
verified: false
- type: cos_sim_f1
value: 93.6318407960199
verified: false
- type: cos_sim_precision
value: 93.16831683168317
verified: false
- type: cos_sim_recall
value: 94.1
verified: false
- type: dot_accuracy
value: 99.87326732673267
verified: false
- type: dot_ap
value: 96.8174218946665
verified: false
- type: dot_f1
value: 93.6318407960199
verified: false
- type: dot_precision
value: 93.16831683168317
verified: false
- type: dot_recall
value: 94.1
verified: false
- type: euclidean_accuracy
value: 99.87326732673267
verified: false
- type: euclidean_ap
value: 96.81770773701807
verified: false
- type: euclidean_f1
value: 93.6318407960199
verified: false
- type: euclidean_precision
value: 93.16831683168317
verified: false
- type: euclidean_recall
value: 94.1
verified: false
- type: manhattan_accuracy
value: 99.87227722772278
verified: false
- type: manhattan_ap
value: 96.83164126821747
verified: false
- type: manhattan_f1
value: 93.54677338669335
verified: false
- type: manhattan_precision
value: 93.5935935935936
verified: false
- type: manhattan_recall
value: 93.5
verified: false
- type: max_accuracy
value: 99.87326732673267
verified: false
- type: max_ap
value: 96.83164126821747
verified: false
- type: max_f1
value: 93.6318407960199
verified: false
- task:
type: Clustering
dataset:
name: MTEB StackExchangeClustering
type: mteb/stackexchange-clustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 65.6212042420246
verified: false
- task:
type: Clustering
dataset:
name: MTEB StackExchangeClusteringP2P
type: mteb/stackexchange-clustering-p2p
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 35.779230635982564
verified: false
- task:
type: Reranking
dataset:
name: MTEB StackOverflowDupQuestions
type: mteb/stackoverflowdupquestions-reranking
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 55.217701909036286
verified: false
- type: mrr
value: 56.17658995416349
verified: false
- task:
type: Summarization
dataset:
name: MTEB SummEval
type: mteb/summeval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 30.954206018888453
verified: false
- type: cos_sim_spearman
value: 32.71062599450096
verified: false
- type: dot_pearson
value: 30.95420929056943
verified: false
- type: dot_spearman
value: 32.71062599450096
verified: false
- task:
type: Retrieval
dataset:
name: MTEB TRECCOVID
type: trec-covid
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.22699999999999998
verified: false
- type: map_at_10
value: 1.924
verified: false
- type: map_at_100
value: 10.525
verified: false
- type: map_at_1000
value: 24.973
verified: false
- type: map_at_3
value: 0.638
verified: false
- type: map_at_5
value: 1.0659999999999998
verified: false
- type: mrr_at_1
value: 84
verified: false
- type: mrr_at_10
value: 91.067
verified: false
- type: mrr_at_100
value: 91.067
verified: false
- type: mrr_at_1000
value: 91.067
verified: false
- type: mrr_at_3
value: 90.667
verified: false
- type: mrr_at_5
value: 91.067
verified: false
- type: ndcg_at_1
value: 81
verified: false
- type: ndcg_at_10
value: 75.566
verified: false
- type: ndcg_at_100
value: 56.387
verified: false
- type: ndcg_at_1000
value: 49.834
verified: false
- type: ndcg_at_3
value: 80.899
verified: false
- type: ndcg_at_5
value: 80.75099999999999
verified: false
- type: precision_at_1
value: 84
verified: false
- type: precision_at_10
value: 79
verified: false
- type: precision_at_100
value: 57.56
verified: false
- type: precision_at_1000
value: 21.8
verified: false
- type: precision_at_3
value: 84.667
verified: false
- type: precision_at_5
value: 85.2
verified: false
- type: recall_at_1
value: 0.22699999999999998
verified: false
- type: recall_at_10
value: 2.136
verified: false
- type: recall_at_100
value: 13.861
verified: false
- type: recall_at_1000
value: 46.299
verified: false
- type: recall_at_3
value: 0.6649999999999999
verified: false
- type: recall_at_5
value: 1.145
verified: false
- task:
type: Retrieval
dataset:
name: MTEB Touche2020
type: webis-touche2020
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 2.752
verified: false
- type: map_at_10
value: 9.951
verified: false
- type: map_at_100
value: 16.794999999999998
verified: false
- type: map_at_1000
value: 18.251
verified: false
- type: map_at_3
value: 5.288
verified: false
- type: map_at_5
value: 6.954000000000001
verified: false
- type: mrr_at_1
value: 38.775999999999996
verified: false
- type: mrr_at_10
value: 50.458000000000006
verified: false
- type: mrr_at_100
value: 51.324999999999996
verified: false
- type: mrr_at_1000
value: 51.339999999999996
verified: false
- type: mrr_at_3
value: 46.939
verified: false
- type: mrr_at_5
value: 47.857
verified: false
- type: ndcg_at_1
value: 36.735
verified: false
- type: ndcg_at_10
value: 25.198999999999998
verified: false
- type: ndcg_at_100
value: 37.938
verified: false
- type: ndcg_at_1000
value: 49.145
verified: false
- type: ndcg_at_3
value: 29.348000000000003
verified: false
- type: ndcg_at_5
value: 25.804
verified: false
- type: precision_at_1
value: 38.775999999999996
verified: false
- type: precision_at_10
value: 22.041
verified: false
- type: precision_at_100
value: 7.939
verified: false
- type: precision_at_1000
value: 1.555
verified: false
- type: precision_at_3
value: 29.932
verified: false
- type: precision_at_5
value: 24.490000000000002
verified: false
- type: recall_at_1
value: 2.752
verified: false
- type: recall_at_10
value: 16.197
verified: false
- type: recall_at_100
value: 49.166
verified: false
- type: recall_at_1000
value: 84.18900000000001
verified: false
- type: recall_at_3
value: 6.438000000000001
verified: false
- type: recall_at_5
value: 9.093
verified: false
- task:
type: Classification
dataset:
name: MTEB ToxicConversationsClassification
type: mteb/toxic_conversations_50k
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 71.47980000000001
verified: false
- type: ap
value: 14.605194452178754
verified: false
- type: f1
value: 55.07362924988948
verified: false
- task:
type: Classification
dataset:
name: MTEB TweetSentimentExtractionClassification
type: mteb/tweet_sentiment_extraction
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 59.708545557441994
verified: false
- type: f1
value: 60.04751270975683
verified: false
- task:
type: Clustering
dataset:
name: MTEB TwentyNewsgroupsClustering
type: mteb/twentynewsgroups-clustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 53.21105960597211
verified: false
- task:
type: PairClassification
dataset:
name: MTEB TwitterSemEval2015
type: mteb/twittersemeval2015-pairclassification
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 87.58419264469214
verified: false
- type: cos_sim_ap
value: 78.55300004517404
verified: false
- type: cos_sim_f1
value: 71.49673530889001
verified: false
- type: cos_sim_precision
value: 68.20795400095831
verified: false
- type: cos_sim_recall
value: 75.11873350923483
verified: false
- type: dot_accuracy
value: 87.58419264469214
verified: false
- type: dot_ap
value: 78.55297659559511
verified: false
- type: dot_f1
value: 71.49673530889001
verified: false
- type: dot_precision
value: 68.20795400095831
verified: false
- type: dot_recall
value: 75.11873350923483
verified: false
- type: euclidean_accuracy
value: 87.58419264469214
verified: false
- type: euclidean_ap
value: 78.55300477331477
verified: false
- type: euclidean_f1
value: 71.49673530889001
verified: false
- type: euclidean_precision
value: 68.20795400095831
verified: false
- type: euclidean_recall
value: 75.11873350923483
verified: false
- type: manhattan_accuracy
value: 87.5663110210407
verified: false
- type: manhattan_ap
value: 78.49982050876562
verified: false
- type: manhattan_f1
value: 71.35488740722104
verified: false
- type: manhattan_precision
value: 68.18946862226497
verified: false
- type: manhattan_recall
value: 74.82849604221636
verified: false
- type: max_accuracy
value: 87.58419264469214
verified: false
- type: max_ap
value: 78.55300477331477
verified: false
- type: max_f1
value: 71.49673530889001
verified: false
- task:
type: PairClassification
dataset:
name: MTEB TwitterURLCorpus
type: mteb/twitterurlcorpus-pairclassification
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 89.09069740365584
verified: false
- type: cos_sim_ap
value: 86.22749303724757
verified: false
- type: cos_sim_f1
value: 78.36863452005407
verified: false
- type: cos_sim_precision
value: 76.49560117302053
verified: false
- type: cos_sim_recall
value: 80.33569448721897
verified: false
- type: dot_accuracy
value: 89.09069740365584
verified: false
- type: dot_ap
value: 86.22750233655673
verified: false
- type: dot_f1
value: 78.36863452005407
verified: false
- type: dot_precision
value: 76.49560117302053
verified: false
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- type: max_ap
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- type: max_f1
value: 78.3907031479847
verified: false | null | null | null | null | [
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"config.json",
"config_sentence_transformers.json",
"gguf/mxbai-embed-large-v1-f16.gguf",
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"sentence_bert_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | null | null | null | 2025-03-13T04:15:03+00:00 | language:
- en
library_name: sentence-transformers
license: apache-2.0
pipeline_tag: feature-extraction
tags:
- mteb
- transformers.js
- transformers
model-index:
- name: mxbai-angle-large-v1
results:
- task:
type: Classification
dataset:
name: MTEB AmazonCounterfactualClassification (en)
type: mteb/amazon_counterfactual
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 75.044776119403
verified: false
- type: ap
value: 37.7362433623053
verified: false
- type: f1
value: 68.92736573359774
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonPolarityClassification
type: mteb/amazon_polarity
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 93.84025000000001
verified: false
- type: ap
value: 90.93190875404055
verified: false
- type: f1
value: 93.8297833897293
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (en)
type: mteb/amazon_reviews_multi
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 49.184
verified: false
- type: f1
value: 48.74163227751588
verified: false
- task:
type: Retrieval
dataset:
name: MTEB ArguAna
type: arguana
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 41.252
verified: false
- type: map_at_10
value: 57.778
verified: false
- type: map_at_100
value: 58.233000000000004
verified: false
- type: map_at_1000
value: 58.23700000000001
verified: false
- type: map_at_3
value: 53.449999999999996
verified: false
- type: map_at_5
value: 56.376000000000005
verified: false
- type: mrr_at_1
value: 41.679
verified: false
- type: mrr_at_10
value: 57.92699999999999
verified: false
- type: mrr_at_100
value: 58.389
verified: false
- type: mrr_at_1000
value: 58.391999999999996
verified: false
- type: mrr_at_3
value: 53.651
verified: false
- type: mrr_at_5
value: 56.521
verified: false
- type: ndcg_at_1
value: 41.252
verified: false
- type: ndcg_at_10
value: 66.018
verified: false
- type: ndcg_at_100
value: 67.774
verified: false
- type: ndcg_at_1000
value: 67.84400000000001
verified: false
- type: ndcg_at_3
value: 57.372
verified: false
- type: ndcg_at_5
value: 62.646
verified: false
- type: precision_at_1
value: 41.252
verified: false
- type: precision_at_10
value: 9.189
verified: false
- type: precision_at_100
value: 0.991
verified: false
- type: precision_at_1000
value: 0.1
verified: false
- type: precision_at_3
value: 22.902
verified: false
- type: precision_at_5
value: 16.302
verified: false
- type: recall_at_1
value: 41.252
verified: false
- type: recall_at_10
value: 91.892
verified: false
- type: recall_at_100
value: 99.14699999999999
verified: false
- type: recall_at_1000
value: 99.644
verified: false
- type: recall_at_3
value: 68.706
verified: false
- type: recall_at_5
value: 81.50800000000001
verified: false
- task:
type: Clustering
dataset:
name: MTEB ArxivClusteringP2P
type: mteb/arxiv-clustering-p2p
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 48.97294504317859
verified: false
- task:
type: Clustering
dataset:
name: MTEB ArxivClusteringS2S
type: mteb/arxiv-clustering-s2s
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 42.98071077674629
verified: false
- task:
type: Reranking
dataset:
name: MTEB AskUbuntuDupQuestions
type: mteb/askubuntudupquestions-reranking
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 65.16477858490782
verified: false
- type: mrr
value: 78.23583080508287
verified: false
- task:
type: STS
dataset:
name: MTEB BIOSSES
type: mteb/biosses-sts
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 89.6277629421789
verified: false
- type: cos_sim_spearman
value: 88.4056288400568
verified: false
- type: euclidean_pearson
value: 87.94871847578163
verified: false
- type: euclidean_spearman
value: 88.4056288400568
verified: false
- type: manhattan_pearson
value: 87.73271254229648
verified: false
- type: manhattan_spearman
value: 87.91826833762677
verified: false
- task:
type: Classification
dataset:
name: MTEB Banking77Classification
type: mteb/banking77
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 87.81818181818181
verified: false
- type: f1
value: 87.79879337316918
verified: false
- task:
type: Clustering
dataset:
name: MTEB BiorxivClusteringP2P
type: mteb/biorxiv-clustering-p2p
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 39.91773608582761
verified: false
- task:
type: Clustering
dataset:
name: MTEB BiorxivClusteringS2S
type: mteb/biorxiv-clustering-s2s
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 36.73059477462478
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackAndroidRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 32.745999999999995
verified: false
- type: map_at_10
value: 43.632
verified: false
- type: map_at_100
value: 45.206
verified: false
- type: map_at_1000
value: 45.341
verified: false
- type: map_at_3
value: 39.956
verified: false
- type: map_at_5
value: 42.031
verified: false
- type: mrr_at_1
value: 39.485
verified: false
- type: mrr_at_10
value: 49.537
verified: false
- type: mrr_at_100
value: 50.249
verified: false
- type: mrr_at_1000
value: 50.294000000000004
verified: false
- type: mrr_at_3
value: 46.757
verified: false
- type: mrr_at_5
value: 48.481
verified: false
- type: ndcg_at_1
value: 39.485
verified: false
- type: ndcg_at_10
value: 50.058
verified: false
- type: ndcg_at_100
value: 55.586
verified: false
- type: ndcg_at_1000
value: 57.511
verified: false
- type: ndcg_at_3
value: 44.786
verified: false
- type: ndcg_at_5
value: 47.339999999999996
verified: false
- type: precision_at_1
value: 39.485
verified: false
- type: precision_at_10
value: 9.557
verified: false
- type: precision_at_100
value: 1.552
verified: false
- type: precision_at_1000
value: 0.202
verified: false
- type: precision_at_3
value: 21.412
verified: false
- type: precision_at_5
value: 15.479000000000001
verified: false
- type: recall_at_1
value: 32.745999999999995
verified: false
- type: recall_at_10
value: 62.056
verified: false
- type: recall_at_100
value: 85.088
verified: false
- type: recall_at_1000
value: 96.952
verified: false
- type: recall_at_3
value: 46.959
verified: false
- type: recall_at_5
value: 54.06999999999999
verified: false
- type: map_at_1
value: 31.898
verified: false
- type: map_at_10
value: 42.142
verified: false
- type: map_at_100
value: 43.349
verified: false
- type: map_at_1000
value: 43.483
verified: false
- type: map_at_3
value: 39.18
verified: false
- type: map_at_5
value: 40.733000000000004
verified: false
- type: mrr_at_1
value: 39.617999999999995
verified: false
- type: mrr_at_10
value: 47.922
verified: false
- type: mrr_at_100
value: 48.547000000000004
verified: false
- type: mrr_at_1000
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verified: false
- type: mrr_at_3
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verified: false
- type: mrr_at_5
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verified: false
- type: ndcg_at_1
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verified: false
- type: ndcg_at_10
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verified: false
- type: ndcg_at_100
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verified: false
- type: ndcg_at_1000
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verified: false
- type: ndcg_at_3
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verified: false
- type: ndcg_at_5
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verified: false
- type: precision_at_1
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verified: false
- type: precision_at_10
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- type: precision_at_100
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verified: false
- type: precision_at_1000
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verified: false
- type: precision_at_3
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verified: false
- type: precision_at_5
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verified: false
- type: recall_at_1
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- type: recall_at_3
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- type: recall_at_5
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- type: map_at_1
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- type: map_at_10
value: 52.942
verified: false
- type: map_at_100
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verified: false
- type: map_at_1000
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- type: map_at_3
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- type: map_at_5
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- type: mrr_at_1
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- type: mrr_at_100
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- type: ndcg_at_10
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- type: ndcg_at_100
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- type: ndcg_at_1000
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verified: false
- type: ndcg_at_3
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verified: false
- type: ndcg_at_5
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- type: precision_at_1
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- type: precision_at_10
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- type: precision_at_100
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- type: precision_at_1000
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- type: precision_at_3
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verified: false
- type: precision_at_5
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verified: false
- type: recall_at_1
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- type: recall_at_5
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- type: map_at_1
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- type: map_at_10
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- type: map_at_100
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- type: map_at_3
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- type: map_at_5
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- type: mrr_at_1
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- type: mrr_at_10
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- type: mrr_at_100
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- type: mrr_at_100
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- type: recall_at_3
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- type: recall_at_5
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verified: false
- type: map_at_1
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- type: mrr_at_10
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- type: mrr_at_100
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- type: mrr_at_3
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- type: mrr_at_5
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- type: ndcg_at_1
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- type: ndcg_at_10
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- type: ndcg_at_100
value: 47.028999999999996
verified: false
- type: ndcg_at_1000
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verified: false
- type: ndcg_at_3
value: 35.85
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- type: precision_at_3
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- type: precision_at_5
value: 12.42
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- type: recall_at_1
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- type: recall_at_10
value: 54.673
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- type: recall_at_100
value: 78.766
verified: false
- type: recall_at_1000
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- type: recall_at_3
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verified: false
- type: recall_at_5
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verified: false
- type: map_at_1
value: 26.695
verified: false
- type: map_at_10
value: 36.0895
verified: false
- type: map_at_100
value: 37.309416666666664
verified: false
- type: map_at_1000
value: 37.42558333333334
verified: false
- type: map_at_3
value: 33.19616666666666
verified: false
- type: map_at_5
value: 34.78641666666667
verified: false
- type: mrr_at_1
value: 31.486083333333337
verified: false
- type: mrr_at_10
value: 40.34774999999999
verified: false
- type: mrr_at_100
value: 41.17533333333333
verified: false
- type: mrr_at_1000
value: 41.231583333333326
verified: false
- type: mrr_at_3
value: 37.90075
verified: false
- type: mrr_at_5
value: 39.266999999999996
verified: false
- type: ndcg_at_1
value: 31.486083333333337
verified: false
- type: ndcg_at_10
value: 41.60433333333334
verified: false
- type: ndcg_at_100
value: 46.74525
verified: false
- type: ndcg_at_1000
value: 48.96166666666667
verified: false
- type: ndcg_at_3
value: 36.68825
verified: false
- type: ndcg_at_5
value: 38.966499999999996
verified: false
- type: precision_at_1
value: 31.486083333333337
verified: false
- type: precision_at_10
value: 7.29675
verified: false
- type: precision_at_100
value: 1.1621666666666666
verified: false
- type: precision_at_1000
value: 0.1545
verified: false
- type: precision_at_3
value: 16.8815
verified: false
- type: precision_at_5
value: 11.974583333333333
verified: false
- type: recall_at_1
value: 26.695
verified: false
- type: recall_at_10
value: 53.651916666666665
verified: false
- type: recall_at_100
value: 76.12083333333332
verified: false
- type: recall_at_1000
value: 91.31191666666668
verified: false
- type: recall_at_3
value: 40.03575
verified: false
- type: recall_at_5
value: 45.876666666666665
verified: false
- type: map_at_1
value: 25.668000000000003
verified: false
- type: map_at_10
value: 32.486
verified: false
- type: map_at_100
value: 33.371
verified: false
- type: map_at_1000
value: 33.458
verified: false
- type: map_at_3
value: 30.261
verified: false
- type: map_at_5
value: 31.418000000000003
verified: false
- type: mrr_at_1
value: 28.988000000000003
verified: false
- type: mrr_at_10
value: 35.414
verified: false
- type: mrr_at_100
value: 36.149
verified: false
- type: mrr_at_1000
value: 36.215
verified: false
- type: mrr_at_3
value: 33.333
verified: false
- type: mrr_at_5
value: 34.43
verified: false
- type: ndcg_at_1
value: 28.988000000000003
verified: false
- type: ndcg_at_10
value: 36.732
verified: false
- type: ndcg_at_100
value: 41.331
verified: false
- type: ndcg_at_1000
value: 43.575
verified: false
- type: ndcg_at_3
value: 32.413
verified: false
- type: ndcg_at_5
value: 34.316
verified: false
- type: precision_at_1
value: 28.988000000000003
verified: false
- type: precision_at_10
value: 5.7059999999999995
verified: false
- type: precision_at_100
value: 0.882
verified: false
- type: precision_at_1000
value: 0.11299999999999999
verified: false
- type: precision_at_3
value: 13.65
verified: false
- type: precision_at_5
value: 9.417
verified: false
- type: recall_at_1
value: 25.668000000000003
verified: false
- type: recall_at_10
value: 47.147
verified: false
- type: recall_at_100
value: 68.504
verified: false
- type: recall_at_1000
value: 85.272
verified: false
- type: recall_at_3
value: 35.19
verified: false
- type: recall_at_5
value: 39.925
verified: false
- type: map_at_1
value: 17.256
verified: false
- type: map_at_10
value: 24.58
verified: false
- type: map_at_100
value: 25.773000000000003
verified: false
- type: map_at_1000
value: 25.899
verified: false
- type: map_at_3
value: 22.236
verified: false
- type: map_at_5
value: 23.507
verified: false
- type: mrr_at_1
value: 20.957
verified: false
- type: mrr_at_10
value: 28.416000000000004
verified: false
- type: mrr_at_100
value: 29.447000000000003
verified: false
- type: mrr_at_1000
value: 29.524
verified: false
- type: mrr_at_3
value: 26.245
verified: false
- type: mrr_at_5
value: 27.451999999999998
verified: false
- type: ndcg_at_1
value: 20.957
verified: false
- type: ndcg_at_10
value: 29.285
verified: false
- type: ndcg_at_100
value: 35.003
verified: false
- type: ndcg_at_1000
value: 37.881
verified: false
- type: ndcg_at_3
value: 25.063000000000002
verified: false
- type: ndcg_at_5
value: 26.983
verified: false
- type: precision_at_1
value: 20.957
verified: false
- type: precision_at_10
value: 5.344
verified: false
- type: precision_at_100
value: 0.958
verified: false
- type: precision_at_1000
value: 0.13799999999999998
verified: false
- type: precision_at_3
value: 11.918
verified: false
- type: precision_at_5
value: 8.596
verified: false
- type: recall_at_1
value: 17.256
verified: false
- type: recall_at_10
value: 39.644
verified: false
- type: recall_at_100
value: 65.279
verified: false
- type: recall_at_1000
value: 85.693
verified: false
- type: recall_at_3
value: 27.825
verified: false
- type: recall_at_5
value: 32.792
verified: false
- type: map_at_1
value: 26.700000000000003
verified: false
- type: map_at_10
value: 36.205999999999996
verified: false
- type: map_at_100
value: 37.316
verified: false
- type: map_at_1000
value: 37.425000000000004
verified: false
- type: map_at_3
value: 33.166000000000004
verified: false
- type: map_at_5
value: 35.032999999999994
verified: false
- type: mrr_at_1
value: 31.436999999999998
verified: false
- type: mrr_at_10
value: 40.61
verified: false
- type: mrr_at_100
value: 41.415
verified: false
- type: mrr_at_1000
value: 41.48
verified: false
- type: mrr_at_3
value: 37.966
verified: false
- type: mrr_at_5
value: 39.599000000000004
verified: false
- type: ndcg_at_1
value: 31.436999999999998
verified: false
- type: ndcg_at_10
value: 41.771
verified: false
- type: ndcg_at_100
value: 46.784
verified: false
- type: ndcg_at_1000
value: 49.183
verified: false
- type: ndcg_at_3
value: 36.437000000000005
verified: false
- type: ndcg_at_5
value: 39.291
verified: false
- type: precision_at_1
value: 31.436999999999998
verified: false
- type: precision_at_10
value: 6.987
verified: false
- type: precision_at_100
value: 1.072
verified: false
- type: precision_at_1000
value: 0.13899999999999998
verified: false
- type: precision_at_3
value: 16.448999999999998
verified: false
- type: precision_at_5
value: 11.866
verified: false
- type: recall_at_1
value: 26.700000000000003
verified: false
- type: recall_at_10
value: 54.301
verified: false
- type: recall_at_100
value: 75.871
verified: false
- type: recall_at_1000
value: 92.529
verified: false
- type: recall_at_3
value: 40.201
verified: false
- type: recall_at_5
value: 47.208
verified: false
- type: map_at_1
value: 24.296
verified: false
- type: map_at_10
value: 33.116
verified: false
- type: map_at_100
value: 34.81
verified: false
- type: map_at_1000
value: 35.032000000000004
verified: false
- type: map_at_3
value: 30.105999999999998
verified: false
- type: map_at_5
value: 31.839000000000002
verified: false
- type: mrr_at_1
value: 29.051
verified: false
- type: mrr_at_10
value: 37.803
verified: false
- type: mrr_at_100
value: 38.856
verified: false
- type: mrr_at_1000
value: 38.903999999999996
verified: false
- type: mrr_at_3
value: 35.211
verified: false
- type: mrr_at_5
value: 36.545
verified: false
- type: ndcg_at_1
value: 29.051
verified: false
- type: ndcg_at_10
value: 39.007
verified: false
- type: ndcg_at_100
value: 45.321
verified: false
- type: ndcg_at_1000
value: 47.665
verified: false
- type: ndcg_at_3
value: 34.1
verified: false
- type: ndcg_at_5
value: 36.437000000000005
verified: false
- type: precision_at_1
value: 29.051
verified: false
- type: precision_at_10
value: 7.668
verified: false
- type: precision_at_100
value: 1.542
verified: false
- type: precision_at_1000
value: 0.24
verified: false
- type: precision_at_3
value: 16.14
verified: false
- type: precision_at_5
value: 11.897
verified: false
- type: recall_at_1
value: 24.296
verified: false
- type: recall_at_10
value: 49.85
verified: false
- type: recall_at_100
value: 78.457
verified: false
- type: recall_at_1000
value: 92.618
verified: false
- type: recall_at_3
value: 36.138999999999996
verified: false
- type: recall_at_5
value: 42.223
verified: false
- type: map_at_1
value: 20.591
verified: false
- type: map_at_10
value: 28.902
verified: false
- type: map_at_100
value: 29.886000000000003
verified: false
- type: map_at_1000
value: 29.987000000000002
verified: false
- type: map_at_3
value: 26.740000000000002
verified: false
- type: map_at_5
value: 27.976
verified: false
- type: mrr_at_1
value: 22.366
verified: false
- type: mrr_at_10
value: 30.971
verified: false
- type: mrr_at_100
value: 31.865
verified: false
- type: mrr_at_1000
value: 31.930999999999997
verified: false
- type: mrr_at_3
value: 28.927999999999997
verified: false
- type: mrr_at_5
value: 30.231
verified: false
- type: ndcg_at_1
value: 22.366
verified: false
- type: ndcg_at_10
value: 33.641
verified: false
- type: ndcg_at_100
value: 38.477
verified: false
- type: ndcg_at_1000
value: 41.088
verified: false
- type: ndcg_at_3
value: 29.486
verified: false
- type: ndcg_at_5
value: 31.612000000000002
verified: false
- type: precision_at_1
value: 22.366
verified: false
- type: precision_at_10
value: 5.3420000000000005
verified: false
- type: precision_at_100
value: 0.828
verified: false
- type: precision_at_1000
value: 0.11800000000000001
verified: false
- type: precision_at_3
value: 12.939
verified: false
- type: precision_at_5
value: 9.094
verified: false
- type: recall_at_1
value: 20.591
verified: false
- type: recall_at_10
value: 46.052
verified: false
- type: recall_at_100
value: 68.193
verified: false
- type: recall_at_1000
value: 87.638
verified: false
- type: recall_at_3
value: 34.966
verified: false
- type: recall_at_5
value: 40.082
verified: false
- task:
type: Retrieval
dataset:
name: MTEB ClimateFEVER
type: climate-fever
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 15.091
verified: false
- type: map_at_10
value: 26.38
verified: false
- type: map_at_100
value: 28.421999999999997
verified: false
- type: map_at_1000
value: 28.621999999999996
verified: false
- type: map_at_3
value: 21.597
verified: false
- type: map_at_5
value: 24.12
verified: false
- type: mrr_at_1
value: 34.266999999999996
verified: false
- type: mrr_at_10
value: 46.864
verified: false
- type: mrr_at_100
value: 47.617
verified: false
- type: mrr_at_1000
value: 47.644
verified: false
- type: mrr_at_3
value: 43.312
verified: false
- type: mrr_at_5
value: 45.501000000000005
verified: false
- type: ndcg_at_1
value: 34.266999999999996
verified: false
- type: ndcg_at_10
value: 36.095
verified: false
- type: ndcg_at_100
value: 43.447
verified: false
- type: ndcg_at_1000
value: 46.661
verified: false
- type: ndcg_at_3
value: 29.337999999999997
verified: false
- type: ndcg_at_5
value: 31.824
verified: false
- type: precision_at_1
value: 34.266999999999996
verified: false
- type: precision_at_10
value: 11.472
verified: false
- type: precision_at_100
value: 1.944
verified: false
- type: precision_at_1000
value: 0.255
verified: false
- type: precision_at_3
value: 21.933
verified: false
- type: precision_at_5
value: 17.224999999999998
verified: false
- type: recall_at_1
value: 15.091
verified: false
- type: recall_at_10
value: 43.022
verified: false
- type: recall_at_100
value: 68.075
verified: false
- type: recall_at_1000
value: 85.76
verified: false
- type: recall_at_3
value: 26.564
verified: false
- type: recall_at_5
value: 33.594
verified: false
- task:
type: Retrieval
dataset:
name: MTEB DBPedia
type: dbpedia-entity
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 9.252
verified: false
- type: map_at_10
value: 20.923
verified: false
- type: map_at_100
value: 30.741000000000003
verified: false
- type: map_at_1000
value: 32.542
verified: false
- type: map_at_3
value: 14.442
verified: false
- type: map_at_5
value: 17.399
verified: false
- type: mrr_at_1
value: 70.25
verified: false
- type: mrr_at_10
value: 78.17
verified: false
- type: mrr_at_100
value: 78.444
verified: false
- type: mrr_at_1000
value: 78.45100000000001
verified: false
- type: mrr_at_3
value: 76.958
verified: false
- type: mrr_at_5
value: 77.571
verified: false
- type: ndcg_at_1
value: 58.375
verified: false
- type: ndcg_at_10
value: 44.509
verified: false
- type: ndcg_at_100
value: 49.897999999999996
verified: false
- type: ndcg_at_1000
value: 57.269999999999996
verified: false
- type: ndcg_at_3
value: 48.64
verified: false
- type: ndcg_at_5
value: 46.697
verified: false
- type: precision_at_1
value: 70.25
verified: false
- type: precision_at_10
value: 36.05
verified: false
- type: precision_at_100
value: 11.848
verified: false
- type: precision_at_1000
value: 2.213
verified: false
- type: precision_at_3
value: 52.917
verified: false
- type: precision_at_5
value: 45.7
verified: false
- type: recall_at_1
value: 9.252
verified: false
- type: recall_at_10
value: 27.006999999999998
verified: false
- type: recall_at_100
value: 57.008
verified: false
- type: recall_at_1000
value: 80.697
verified: false
- type: recall_at_3
value: 15.798000000000002
verified: false
- type: recall_at_5
value: 20.4
verified: false
- task:
type: Classification
dataset:
name: MTEB EmotionClassification
type: mteb/emotion
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 50.88
verified: false
- type: f1
value: 45.545495028653384
verified: false
- task:
type: Retrieval
dataset:
name: MTEB FEVER
type: fever
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 75.424
verified: false
- type: map_at_10
value: 83.435
verified: false
- type: map_at_100
value: 83.66900000000001
verified: false
- type: map_at_1000
value: 83.685
verified: false
- type: map_at_3
value: 82.39800000000001
verified: false
- type: map_at_5
value: 83.07
verified: false
- type: mrr_at_1
value: 81.113
verified: false
- type: mrr_at_10
value: 87.77199999999999
verified: false
- type: mrr_at_100
value: 87.862
verified: false
- type: mrr_at_1000
value: 87.86500000000001
verified: false
- type: mrr_at_3
value: 87.17099999999999
verified: false
- type: mrr_at_5
value: 87.616
verified: false
- type: ndcg_at_1
value: 81.113
verified: false
- type: ndcg_at_10
value: 86.909
verified: false
- type: ndcg_at_100
value: 87.746
verified: false
- type: ndcg_at_1000
value: 88.017
verified: false
- type: ndcg_at_3
value: 85.368
verified: false
- type: ndcg_at_5
value: 86.28099999999999
verified: false
- type: precision_at_1
value: 81.113
verified: false
- type: precision_at_10
value: 10.363
verified: false
- type: precision_at_100
value: 1.102
verified: false
- type: precision_at_1000
value: 0.11399999999999999
verified: false
- type: precision_at_3
value: 32.507999999999996
verified: false
- type: precision_at_5
value: 20.138
verified: false
- type: recall_at_1
value: 75.424
verified: false
- type: recall_at_10
value: 93.258
verified: false
- type: recall_at_100
value: 96.545
verified: false
- type: recall_at_1000
value: 98.284
verified: false
- type: recall_at_3
value: 89.083
verified: false
- type: recall_at_5
value: 91.445
verified: false
- task:
type: Retrieval
dataset:
name: MTEB FiQA2018
type: fiqa
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 22.532
verified: false
- type: map_at_10
value: 37.141999999999996
verified: false
- type: map_at_100
value: 39.162
verified: false
- type: map_at_1000
value: 39.322
verified: false
- type: map_at_3
value: 32.885
verified: false
- type: map_at_5
value: 35.093999999999994
verified: false
- type: mrr_at_1
value: 44.29
verified: false
- type: mrr_at_10
value: 53.516
verified: false
- type: mrr_at_100
value: 54.24
verified: false
- type: mrr_at_1000
value: 54.273
verified: false
- type: mrr_at_3
value: 51.286
verified: false
- type: mrr_at_5
value: 52.413
verified: false
- type: ndcg_at_1
value: 44.29
verified: false
- type: ndcg_at_10
value: 45.268
verified: false
- type: ndcg_at_100
value: 52.125
verified: false
- type: ndcg_at_1000
value: 54.778000000000006
verified: false
- type: ndcg_at_3
value: 41.829
verified: false
- type: ndcg_at_5
value: 42.525
verified: false
- type: precision_at_1
value: 44.29
verified: false
- type: precision_at_10
value: 12.5
verified: false
- type: precision_at_100
value: 1.9720000000000002
verified: false
- type: precision_at_1000
value: 0.245
verified: false
- type: precision_at_3
value: 28.035
verified: false
- type: precision_at_5
value: 20.093
verified: false
- type: recall_at_1
value: 22.532
verified: false
- type: recall_at_10
value: 52.419000000000004
verified: false
- type: recall_at_100
value: 77.43299999999999
verified: false
- type: recall_at_1000
value: 93.379
verified: false
- type: recall_at_3
value: 38.629000000000005
verified: false
- type: recall_at_5
value: 43.858000000000004
verified: false
- task:
type: Retrieval
dataset:
name: MTEB HotpotQA
type: hotpotqa
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 39.359
verified: false
- type: map_at_10
value: 63.966
verified: false
- type: map_at_100
value: 64.87
verified: false
- type: map_at_1000
value: 64.92599999999999
verified: false
- type: map_at_3
value: 60.409
verified: false
- type: map_at_5
value: 62.627
verified: false
- type: mrr_at_1
value: 78.717
verified: false
- type: mrr_at_10
value: 84.468
verified: false
- type: mrr_at_100
value: 84.655
verified: false
- type: mrr_at_1000
value: 84.661
verified: false
- type: mrr_at_3
value: 83.554
verified: false
- type: mrr_at_5
value: 84.133
verified: false
- type: ndcg_at_1
value: 78.717
verified: false
- type: ndcg_at_10
value: 72.03399999999999
verified: false
- type: ndcg_at_100
value: 75.158
verified: false
- type: ndcg_at_1000
value: 76.197
verified: false
- type: ndcg_at_3
value: 67.049
verified: false
- type: ndcg_at_5
value: 69.808
verified: false
- type: precision_at_1
value: 78.717
verified: false
- type: precision_at_10
value: 15.201
verified: false
- type: precision_at_100
value: 1.764
verified: false
- type: precision_at_1000
value: 0.19
verified: false
- type: precision_at_3
value: 43.313
verified: false
- type: precision_at_5
value: 28.165000000000003
verified: false
- type: recall_at_1
value: 39.359
verified: false
- type: recall_at_10
value: 76.003
verified: false
- type: recall_at_100
value: 88.197
verified: false
- type: recall_at_1000
value: 95.003
verified: false
- type: recall_at_3
value: 64.97
verified: false
- type: recall_at_5
value: 70.41199999999999
verified: false
- task:
type: Classification
dataset:
name: MTEB ImdbClassification
type: mteb/imdb
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 92.83200000000001
verified: false
- type: ap
value: 89.33560571859861
verified: false
- type: f1
value: 92.82322915005167
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MSMARCO
type: msmarco
config: default
split: dev
revision: None
metrics:
- type: map_at_1
value: 21.983
verified: false
- type: map_at_10
value: 34.259
verified: false
- type: map_at_100
value: 35.432
verified: false
- type: map_at_1000
value: 35.482
verified: false
- type: map_at_3
value: 30.275999999999996
verified: false
- type: map_at_5
value: 32.566
verified: false
- type: mrr_at_1
value: 22.579
verified: false
- type: mrr_at_10
value: 34.882999999999996
verified: false
- type: mrr_at_100
value: 35.984
verified: false
- type: mrr_at_1000
value: 36.028
verified: false
- type: mrr_at_3
value: 30.964999999999996
verified: false
- type: mrr_at_5
value: 33.245000000000005
verified: false
- type: ndcg_at_1
value: 22.564
verified: false
- type: ndcg_at_10
value: 41.258
verified: false
- type: ndcg_at_100
value: 46.824
verified: false
- type: ndcg_at_1000
value: 48.037
verified: false
- type: ndcg_at_3
value: 33.17
verified: false
- type: ndcg_at_5
value: 37.263000000000005
verified: false
- type: precision_at_1
value: 22.564
verified: false
- type: precision_at_10
value: 6.572
verified: false
- type: precision_at_100
value: 0.935
verified: false
- type: precision_at_1000
value: 0.104
verified: false
- type: precision_at_3
value: 14.130999999999998
verified: false
- type: precision_at_5
value: 10.544
verified: false
- type: recall_at_1
value: 21.983
verified: false
- type: recall_at_10
value: 62.775000000000006
verified: false
- type: recall_at_100
value: 88.389
verified: false
- type: recall_at_1000
value: 97.603
verified: false
- type: recall_at_3
value: 40.878
verified: false
- type: recall_at_5
value: 50.690000000000005
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPDomainClassification (en)
type: mteb/mtop_domain
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 93.95120839033288
verified: false
- type: f1
value: 93.73824125055208
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPIntentClassification (en)
type: mteb/mtop_intent
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 76.78978568171455
verified: false
- type: f1
value: 57.50180552858304
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveIntentClassification (en)
type: mteb/amazon_massive_intent
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 76.24411566913248
verified: false
- type: f1
value: 74.37851403532832
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (en)
type: mteb/amazon_massive_scenario
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 79.94620040349699
verified: false
- type: f1
value: 80.21293397970435
verified: false
- task:
type: Clustering
dataset:
name: MTEB MedrxivClusteringP2P
type: mteb/medrxiv-clustering-p2p
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 33.44403096245675
verified: false
- task:
type: Clustering
dataset:
name: MTEB MedrxivClusteringS2S
type: mteb/medrxiv-clustering-s2s
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 31.659594631336812
verified: false
- task:
type: Reranking
dataset:
name: MTEB MindSmallReranking
type: mteb/mind_small
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 32.53833075108798
verified: false
- type: mrr
value: 33.78840823218308
verified: false
- task:
type: Retrieval
dataset:
name: MTEB NFCorpus
type: nfcorpus
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 7.185999999999999
verified: false
- type: map_at_10
value: 15.193999999999999
verified: false
- type: map_at_100
value: 19.538
verified: false
- type: map_at_1000
value: 21.178
verified: false
- type: map_at_3
value: 11.208
verified: false
- type: map_at_5
value: 12.745999999999999
verified: false
- type: mrr_at_1
value: 48.916
verified: false
- type: mrr_at_10
value: 58.141
verified: false
- type: mrr_at_100
value: 58.656
verified: false
- type: mrr_at_1000
value: 58.684999999999995
verified: false
- type: mrr_at_3
value: 55.521
verified: false
- type: mrr_at_5
value: 57.239
verified: false
- type: ndcg_at_1
value: 47.059
verified: false
- type: ndcg_at_10
value: 38.644
verified: false
- type: ndcg_at_100
value: 36.272999999999996
verified: false
- type: ndcg_at_1000
value: 44.996
verified: false
- type: ndcg_at_3
value: 43.293
verified: false
- type: ndcg_at_5
value: 40.819
verified: false
- type: precision_at_1
value: 48.916
verified: false
- type: precision_at_10
value: 28.607
verified: false
- type: precision_at_100
value: 9.195
verified: false
- type: precision_at_1000
value: 2.225
verified: false
- type: precision_at_3
value: 40.454
verified: false
- type: precision_at_5
value: 34.985
verified: false
- type: recall_at_1
value: 7.185999999999999
verified: false
- type: recall_at_10
value: 19.654
verified: false
- type: recall_at_100
value: 37.224000000000004
verified: false
- type: recall_at_1000
value: 68.663
verified: false
- type: recall_at_3
value: 12.158
verified: false
- type: recall_at_5
value: 14.674999999999999
verified: false
- task:
type: Retrieval
dataset:
name: MTEB NQ
type: nq
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 31.552000000000003
verified: false
- type: map_at_10
value: 47.75
verified: false
- type: map_at_100
value: 48.728
verified: false
- type: map_at_1000
value: 48.754
verified: false
- type: map_at_3
value: 43.156
verified: false
- type: map_at_5
value: 45.883
verified: false
- type: mrr_at_1
value: 35.66
verified: false
- type: mrr_at_10
value: 50.269
verified: false
- type: mrr_at_100
value: 50.974
verified: false
- type: mrr_at_1000
value: 50.991
verified: false
- type: mrr_at_3
value: 46.519
verified: false
- type: mrr_at_5
value: 48.764
verified: false
- type: ndcg_at_1
value: 35.632000000000005
verified: false
- type: ndcg_at_10
value: 55.786
verified: false
- type: ndcg_at_100
value: 59.748999999999995
verified: false
- type: ndcg_at_1000
value: 60.339
verified: false
- type: ndcg_at_3
value: 47.292
verified: false
- type: ndcg_at_5
value: 51.766999999999996
verified: false
- type: precision_at_1
value: 35.632000000000005
verified: false
- type: precision_at_10
value: 9.267
verified: false
- type: precision_at_100
value: 1.149
verified: false
- type: precision_at_1000
value: 0.12
verified: false
- type: precision_at_3
value: 21.601
verified: false
- type: precision_at_5
value: 15.539
verified: false
- type: recall_at_1
value: 31.552000000000003
verified: false
- type: recall_at_10
value: 77.62400000000001
verified: false
- type: recall_at_100
value: 94.527
verified: false
- type: recall_at_1000
value: 98.919
verified: false
- type: recall_at_3
value: 55.898
verified: false
- type: recall_at_5
value: 66.121
verified: false
- task:
type: Retrieval
dataset:
name: MTEB QuoraRetrieval
type: quora
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 71.414
verified: false
- type: map_at_10
value: 85.37400000000001
verified: false
- type: map_at_100
value: 86.01100000000001
verified: false
- type: map_at_1000
value: 86.027
verified: false
- type: map_at_3
value: 82.562
verified: false
- type: map_at_5
value: 84.284
verified: false
- type: mrr_at_1
value: 82.24000000000001
verified: false
- type: mrr_at_10
value: 88.225
verified: false
- type: mrr_at_100
value: 88.324
verified: false
- type: mrr_at_1000
value: 88.325
verified: false
- type: mrr_at_3
value: 87.348
verified: false
- type: mrr_at_5
value: 87.938
verified: false
- type: ndcg_at_1
value: 82.24000000000001
verified: false
- type: ndcg_at_10
value: 88.97699999999999
verified: false
- type: ndcg_at_100
value: 90.16
verified: false
- type: ndcg_at_1000
value: 90.236
verified: false
- type: ndcg_at_3
value: 86.371
verified: false
- type: ndcg_at_5
value: 87.746
verified: false
- type: precision_at_1
value: 82.24000000000001
verified: false
- type: precision_at_10
value: 13.481000000000002
verified: false
- type: precision_at_100
value: 1.534
verified: false
- type: precision_at_1000
value: 0.157
verified: false
- type: precision_at_3
value: 37.86
verified: false
- type: precision_at_5
value: 24.738
verified: false
- type: recall_at_1
value: 71.414
verified: false
- type: recall_at_10
value: 95.735
verified: false
- type: recall_at_100
value: 99.696
verified: false
- type: recall_at_1000
value: 99.979
verified: false
- type: recall_at_3
value: 88.105
verified: false
- type: recall_at_5
value: 92.17999999999999
verified: false
- task:
type: Clustering
dataset:
name: MTEB RedditClustering
type: mteb/reddit-clustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 60.22146692057259
verified: false
- task:
type: Clustering
dataset:
name: MTEB RedditClusteringP2P
type: mteb/reddit-clustering-p2p
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 65.29273320614578
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SCIDOCS
type: scidocs
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 5.023
verified: false
- type: map_at_10
value: 14.161000000000001
verified: false
- type: map_at_100
value: 16.68
verified: false
- type: map_at_1000
value: 17.072000000000003
verified: false
- type: map_at_3
value: 9.763
verified: false
- type: map_at_5
value: 11.977
verified: false
- type: mrr_at_1
value: 24.8
verified: false
- type: mrr_at_10
value: 37.602999999999994
verified: false
- type: mrr_at_100
value: 38.618
verified: false
- type: mrr_at_1000
value: 38.659
verified: false
- type: mrr_at_3
value: 34.117
verified: false
- type: mrr_at_5
value: 36.082
verified: false
- type: ndcg_at_1
value: 24.8
verified: false
- type: ndcg_at_10
value: 23.316
verified: false
- type: ndcg_at_100
value: 32.613
verified: false
- type: ndcg_at_1000
value: 38.609
verified: false
- type: ndcg_at_3
value: 21.697
verified: false
- type: ndcg_at_5
value: 19.241
verified: false
- type: precision_at_1
value: 24.8
verified: false
- type: precision_at_10
value: 12.36
verified: false
- type: precision_at_100
value: 2.593
verified: false
- type: precision_at_1000
value: 0.402
verified: false
- type: precision_at_3
value: 20.767
verified: false
- type: precision_at_5
value: 17.34
verified: false
- type: recall_at_1
value: 5.023
verified: false
- type: recall_at_10
value: 25.069999999999997
verified: false
- type: recall_at_100
value: 52.563
verified: false
- type: recall_at_1000
value: 81.525
verified: false
- type: recall_at_3
value: 12.613
verified: false
- type: recall_at_5
value: 17.583
verified: false
- task:
type: STS
dataset:
name: MTEB SICK-R
type: mteb/sickr-sts
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 87.71506247604255
verified: false
- type: cos_sim_spearman
value: 82.91813463738802
verified: false
- type: euclidean_pearson
value: 85.5154616194479
verified: false
- type: euclidean_spearman
value: 82.91815254466314
verified: false
- type: manhattan_pearson
value: 85.5280917850374
verified: false
- type: manhattan_spearman
value: 82.92276537286398
verified: false
- task:
type: STS
dataset:
name: MTEB STS12
type: mteb/sts12-sts
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 87.43772054228462
verified: false
- type: cos_sim_spearman
value: 78.75750601716682
verified: false
- type: euclidean_pearson
value: 85.76074482955764
verified: false
- type: euclidean_spearman
value: 78.75651057223058
verified: false
- type: manhattan_pearson
value: 85.73390291701668
verified: false
- type: manhattan_spearman
value: 78.72699385957797
verified: false
- task:
type: STS
dataset:
name: MTEB STS13
type: mteb/sts13-sts
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 89.58144067172472
verified: false
- type: cos_sim_spearman
value: 90.3524512966946
verified: false
- type: euclidean_pearson
value: 89.71365391594237
verified: false
- type: euclidean_spearman
value: 90.35239632843408
verified: false
- type: manhattan_pearson
value: 89.66905421746478
verified: false
- type: manhattan_spearman
value: 90.31508211683513
verified: false
- task:
type: STS
dataset:
name: MTEB STS14
type: mteb/sts14-sts
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 87.77692637102102
verified: false
- type: cos_sim_spearman
value: 85.45710562643485
verified: false
- type: euclidean_pearson
value: 87.42456979928723
verified: false
- type: euclidean_spearman
value: 85.45709386240908
verified: false
- type: manhattan_pearson
value: 87.40754529526272
verified: false
- type: manhattan_spearman
value: 85.44834854173303
verified: false
- task:
type: STS
dataset:
name: MTEB STS15
type: mteb/sts15-sts
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 88.28491331695997
verified: false
- type: cos_sim_spearman
value: 89.62037029566964
verified: false
- type: euclidean_pearson
value: 89.02479391362826
verified: false
- type: euclidean_spearman
value: 89.62036733618466
verified: false
- type: manhattan_pearson
value: 89.00394756040342
verified: false
- type: manhattan_spearman
value: 89.60867744215236
verified: false
- task:
type: STS
dataset:
name: MTEB STS16
type: mteb/sts16-sts
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 85.08911381280191
verified: false
- type: cos_sim_spearman
value: 86.5791780765767
verified: false
- type: euclidean_pearson
value: 86.16063473577861
verified: false
- type: euclidean_spearman
value: 86.57917745378766
verified: false
- type: manhattan_pearson
value: 86.13677924604175
verified: false
- type: manhattan_spearman
value: 86.56115615768685
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (en-en)
type: mteb/sts17-crosslingual-sts
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 89.58029496205235
verified: false
- type: cos_sim_spearman
value: 89.49551253826998
verified: false
- type: euclidean_pearson
value: 90.13714840963748
verified: false
- type: euclidean_spearman
value: 89.49551253826998
verified: false
- type: manhattan_pearson
value: 90.13039633601363
verified: false
- type: manhattan_spearman
value: 89.4513453745516
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (en)
type: mteb/sts22-crosslingual-sts
config: en
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics:
- type: cos_sim_pearson
value: 69.01546399666435
verified: false
- type: cos_sim_spearman
value: 69.33824484595624
verified: false
- type: euclidean_pearson
value: 70.76511642998874
verified: false
- type: euclidean_spearman
value: 69.33824484595624
verified: false
- type: manhattan_pearson
value: 70.84320785047453
verified: false
- type: manhattan_spearman
value: 69.54233632223537
verified: false
- task:
type: STS
dataset:
name: MTEB STSBenchmark
type: mteb/stsbenchmark-sts
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 87.26389196390119
verified: false
- type: cos_sim_spearman
value: 89.09721478341385
verified: false
- type: euclidean_pearson
value: 88.97208685922517
verified: false
- type: euclidean_spearman
value: 89.09720927308881
verified: false
- type: manhattan_pearson
value: 88.97513670502573
verified: false
- type: manhattan_spearman
value: 89.07647853984004
verified: false
- task:
type: Reranking
dataset:
name: MTEB SciDocsRR
type: mteb/scidocs-reranking
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 87.53075025771936
verified: false
- type: mrr
value: 96.24327651288436
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SciFact
type: scifact
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 60.428000000000004
verified: false
- type: map_at_10
value: 70.088
verified: false
- type: map_at_100
value: 70.589
verified: false
- type: map_at_1000
value: 70.614
verified: false
- type: map_at_3
value: 67.191
verified: false
- type: map_at_5
value: 68.515
verified: false
- type: mrr_at_1
value: 63.333
verified: false
- type: mrr_at_10
value: 71.13000000000001
verified: false
- type: mrr_at_100
value: 71.545
verified: false
- type: mrr_at_1000
value: 71.569
verified: false
- type: mrr_at_3
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- type: ndcg_at_1000
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- type: precision_at_10
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- type: precision_at_100
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- type: precision_at_1000
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- type: precision_at_3
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- type: precision_at_5
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verified: false
- type: recall_at_1
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- type: recall_at_1000
value: 100
verified: false
- type: recall_at_3
value: 74.006
verified: false
- type: recall_at_5
value: 79.05
verified: false
- task:
type: PairClassification
dataset:
name: MTEB SprintDuplicateQuestions
type: mteb/sprintduplicatequestions-pairclassification
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
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value: 99.87326732673267
verified: false
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- type: cos_sim_f1
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- type: cos_sim_recall
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- type: dot_accuracy
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verified: false
- type: dot_f1
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- type: dot_precision
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verified: false
- type: dot_recall
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verified: false
- type: euclidean_accuracy
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verified: false
- type: euclidean_ap
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verified: false
- type: euclidean_f1
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- type: euclidean_precision
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- type: euclidean_recall
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- type: manhattan_accuracy
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verified: false
- type: manhattan_ap
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verified: false
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- type: manhattan_precision
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- type: manhattan_recall
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verified: false
- type: max_ap
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verified: false
- type: max_f1
value: 93.6318407960199
verified: false
- task:
type: Clustering
dataset:
name: MTEB StackExchangeClustering
type: mteb/stackexchange-clustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 65.6212042420246
verified: false
- task:
type: Clustering
dataset:
name: MTEB StackExchangeClusteringP2P
type: mteb/stackexchange-clustering-p2p
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 35.779230635982564
verified: false
- task:
type: Reranking
dataset:
name: MTEB StackOverflowDupQuestions
type: mteb/stackoverflowdupquestions-reranking
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 55.217701909036286
verified: false
- type: mrr
value: 56.17658995416349
verified: false
- task:
type: Summarization
dataset:
name: MTEB SummEval
type: mteb/summeval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 30.954206018888453
verified: false
- type: cos_sim_spearman
value: 32.71062599450096
verified: false
- type: dot_pearson
value: 30.95420929056943
verified: false
- type: dot_spearman
value: 32.71062599450096
verified: false
- task:
type: Retrieval
dataset:
name: MTEB TRECCOVID
type: trec-covid
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.22699999999999998
verified: false
- type: map_at_10
value: 1.924
verified: false
- type: map_at_100
value: 10.525
verified: false
- type: map_at_1000
value: 24.973
verified: false
- type: map_at_3
value: 0.638
verified: false
- type: map_at_5
value: 1.0659999999999998
verified: false
- type: mrr_at_1
value: 84
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- type: mrr_at_10
value: 91.067
verified: false
- type: mrr_at_100
value: 91.067
verified: false
- type: mrr_at_1000
value: 91.067
verified: false
- type: mrr_at_3
value: 90.667
verified: false
- type: mrr_at_5
value: 91.067
verified: false
- type: ndcg_at_1
value: 81
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- type: ndcg_at_10
value: 75.566
verified: false
- type: ndcg_at_100
value: 56.387
verified: false
- type: ndcg_at_1000
value: 49.834
verified: false
- type: ndcg_at_3
value: 80.899
verified: false
- type: ndcg_at_5
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verified: false
- type: precision_at_1
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- type: precision_at_10
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- type: precision_at_100
value: 57.56
verified: false
- type: precision_at_1000
value: 21.8
verified: false
- type: precision_at_3
value: 84.667
verified: false
- type: precision_at_5
value: 85.2
verified: false
- type: recall_at_1
value: 0.22699999999999998
verified: false
- type: recall_at_10
value: 2.136
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- type: recall_at_100
value: 13.861
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- type: recall_at_1000
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- type: recall_at_3
value: 0.6649999999999999
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- type: recall_at_5
value: 1.145
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- task:
type: Retrieval
dataset:
name: MTEB Touche2020
type: webis-touche2020
config: default
split: test
revision: None
metrics:
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value: 2.752
verified: false
- type: map_at_10
value: 9.951
verified: false
- type: map_at_100
value: 16.794999999999998
verified: false
- type: map_at_1000
value: 18.251
verified: false
- type: map_at_3
value: 5.288
verified: false
- type: map_at_5
value: 6.954000000000001
verified: false
- type: mrr_at_1
value: 38.775999999999996
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- type: mrr_at_10
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- type: mrr_at_100
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- type: mrr_at_1000
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- type: mrr_at_3
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- type: mrr_at_5
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- type: ndcg_at_1
value: 36.735
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value: 29.348000000000003
verified: false
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value: 25.804
verified: false
- type: precision_at_1
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verified: false
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verified: false
- type: precision_at_100
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verified: false
- type: precision_at_1000
value: 1.555
verified: false
- type: precision_at_3
value: 29.932
verified: false
- type: precision_at_5
value: 24.490000000000002
verified: false
- type: recall_at_1
value: 2.752
verified: false
- type: recall_at_10
value: 16.197
verified: false
- type: recall_at_100
value: 49.166
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- type: recall_at_1000
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- type: recall_at_3
value: 6.438000000000001
verified: false
- type: recall_at_5
value: 9.093
verified: false
- task:
type: Classification
dataset:
name: MTEB ToxicConversationsClassification
type: mteb/toxic_conversations_50k
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
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value: 71.47980000000001
verified: false
- type: ap
value: 14.605194452178754
verified: false
- type: f1
value: 55.07362924988948
verified: false
- task:
type: Classification
dataset:
name: MTEB TweetSentimentExtractionClassification
type: mteb/tweet_sentiment_extraction
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 59.708545557441994
verified: false
- type: f1
value: 60.04751270975683
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- task:
type: Clustering
dataset:
name: MTEB TwentyNewsgroupsClustering
type: mteb/twentynewsgroups-clustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 53.21105960597211
verified: false
- task:
type: PairClassification
dataset:
name: MTEB TwitterSemEval2015
type: mteb/twittersemeval2015-pairclassification
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
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value: 87.58419264469214
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- type: cos_sim_ap
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- type: cos_sim_f1
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- type: cos_sim_precision
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- type: cos_sim_recall
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- type: dot_accuracy
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- type: dot_ap
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- type: dot_f1
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- type: dot_precision
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- type: euclidean_accuracy
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- type: euclidean_precision
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- type: euclidean_recall
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- type: manhattan_accuracy
value: 87.5663110210407
verified: false
- type: manhattan_ap
value: 78.49982050876562
verified: false
- type: manhattan_f1
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- type: manhattan_precision
value: 68.18946862226497
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- type: manhattan_recall
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- type: max_accuracy
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- type: max_ap
value: 78.55300477331477
verified: false
- type: max_f1
value: 71.49673530889001
verified: false
- task:
type: PairClassification
dataset:
name: MTEB TwitterURLCorpus
type: mteb/twitterurlcorpus-pairclassification
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
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value: 89.09069740365584
verified: false
- type: cos_sim_ap
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- type: cos_sim_f1
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- type: cos_sim_recall
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verified: false
- type: dot_accuracy
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verified: false
- type: dot_ap
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- type: dot_f1
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- type: dot_precision
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- type: dot_recall
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- type: euclidean_accuracy
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verified: false
- type: euclidean_ap
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- type: euclidean_f1
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- type: euclidean_precision
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verified: false
- type: euclidean_recall
value: 80.33569448721897
verified: false
- type: manhattan_accuracy
value: 89.08293553770326
verified: false
- type: manhattan_ap
value: 86.21913616084771
verified: false
- type: manhattan_f1
value: 78.3907031479847
verified: false
- type: manhattan_precision
value: 75.0352013517319
verified: false
- type: manhattan_recall
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verified: false
- type: max_accuracy
value: 89.09069740365584
verified: false
- type: max_ap
value: 86.22750233655673
verified: false
- type: max_f1
value: 78.3907031479847
verified: false | null | 65e9e11efd3543cc7c07ea30 | mixedbread-ai/mxbai-embed-large-v1 |
BELLE-2/Belle-whisper-large-v3-zh | BELLE-2 | a72022a6a93289a2580a14c219439ed578c3e45b | 2024-12-16T03:18:08+00:00 | 2024-03-11T01:40:25Z | false | False | null | 1,032 | null | 111 | transformers | null | not-popular-enough | null | [
"transformers",
"pytorch",
"safetensors",
"whisper",
"automatic-speech-recognition",
"base_model:openai/whisper-large-v3",
"base_model:finetune:openai/whisper-large-v3",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | null | 3 | base_model:
- openai/whisper-large-v3
license: apache-2.0
metrics:
- cer | null | null | null | null | [
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"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | null | null | null | 2024-12-16T03:18:08+00:00 | base_model:
- openai/whisper-large-v3
license: apache-2.0
metrics:
- cer | null | 65ee610900f1a613dabede8a | BELLE-2/Belle-whisper-large-v3-zh |
meta-llama/CodeLlama-7b-Python-hf | meta-llama | b97340ccba60c3ccaf91882ffe470a1bbc32e32c | 2024-03-14T18:40:57+00:00 | 2024-03-13T19:37:27Z | false | manual | null | 1,836 | null | 22 | transformers | null | null | null | [
"transformers",
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"text-generation",
"facebook",
"meta",
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"arxiv:2308.12950",
"license:llama2",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
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] | text-generation | null | 3 | language:
- code
license: llama2
pipeline_tag: text-generation
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
extra_gated_heading: You need to share contact information with Meta to access this
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\ and consents required by applicable laws\n 6. Engage in or facilitate any action\
\ or generate any content that infringes, misappropriates, or otherwise violates\
\ any third-party rights, including the outputs or results of any products or services\
\ using the Llama 2 Materials\n 7. Create, generate, or facilitate the creation\
\ of malicious code, malware, computer viruses or do anything else that could disable,\
\ overburden, interfere with or impair the proper working, integrity, operation\
\ or appearance of a website or computer system \n2. Engage in, promote, incite,\
\ facilitate, or assist in the planning or development of activities that present\
\ a risk of death or bodily harm to individuals, including use of Llama 2 related\
\ to the following:\n 1. Military, warfare, nuclear industries or applications,\
\ espionage, use for materials or activities that are subject to the International\
\ Traffic Arms Regulations (ITAR) maintained by the United States Department of\
\ State\n 2. Guns and illegal weapons (including weapon development)\n 3. Illegal\
\ drugs and regulated/controlled substances\n 4. Operation of critical infrastructure,\
\ transportation technologies, or heavy machinery\n 5. Self-harm or harm to others,\
\ including suicide, cutting, and eating disorders\n 6. Any content intended to\
\ incite or promote violence, abuse, or any infliction of bodily harm to an individual\n\
3. Intentionally deceive or mislead others, including use of Llama 2 related to\
\ the following:\n 1. Generating, promoting, or furthering fraud or the creation\
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\ content, including the creation of defamatory statements, images, or other content\n\
\ 3. Generating, promoting, or further distributing spam\n 4. Impersonating another\
\ individual without consent, authorization, or legal right\n 5. Representing that\
\ the use of Llama 2 or outputs are human-generated\n 6. Generating or facilitating\
\ false online engagement, including fake reviews and other means of fake online\
\ engagement \n 4. Fail to appropriately disclose to end users any known dangers\
\ of your AI system \nPlease report any violation of this Policy, software “bug,”\
\ or other problems that could lead to a violation of this Policy through one of\
\ the following means: * Reporting issues with the model: [github.com/facebookresearch/llama](http://github.com/facebookresearch/llama)\
\ * Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)\
\ * Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)\
\ * Reporting violations of the Acceptable Use Policy or unlicensed uses of Llama:\
\ [[email protected]](mailto:[email protected])"
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Last Name: text
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Country: country
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geo: ip_location
? By clicking Submit below I accept the terms of the license and acknowledge that
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with the Meta Privacy Policy
: checkbox
extra_gated_description: The information you provide will be collected, stored, processed
and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
extra_gated_button_content: Submit | null | null | null | null | [
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] | null | null | null | 2024-03-14T18:40:57+00:00 | language:
- code
license: llama2
pipeline_tag: text-generation
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
extra_gated_heading: You need to share contact information with Meta to access this
model
extra_gated_prompt: "### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\"Agreement\" means\
\ the terms and conditions for use, reproduction, distribution and modification\
\ of the Llama Materials set forth herein. \"Documentation\" means the specifications,\
\ manuals and documentation accompanying Llama 2 distributed by Meta at https://ai.meta.com/resources/models-and-libraries/llama-downloads/.\
\ \"Licensee\" or \"you\" means you, or your employer or any other person or entity\
\ (if you are entering into this Agreement on such person or entity's behalf), of\
\ the age required under applicable laws, rules or regulations to provide legal\
\ consent and that has legal authority to bind your employer or such other person\
\ or entity if you are entering in this Agreement on their behalf. \"Llama 2\"\
\ means the foundational large language models and software and algorithms, including\
\ machine-learning model code, trained model weights, inference-enabling code, training-enabling\
\ code, fine-tuning enabling code and other elements of the foregoing distributed\
\ by Meta at ai.meta.com/resources/models-and-libraries/llama-downloads/. \"Llama\
\ Materials\" means, collectively, Meta's proprietary Llama 2 and documentation\
\ (and any portion thereof) made available under this Agreement. \"Meta\" or \"\
we\" means Meta Platforms Ireland Limited (if you are located in or, if you are\
\ an entity, your principal place of business is in the EEA or Switzerland) and\
\ Meta Platforms, Inc. (if you are located outside of the EEA or Switzerland). \
\ By clicking \"I Accept\" below or by using or distributing any portion or element\
\ of the Llama Materials, you agree to be bound by this Agreement. 1. License Rights\
\ and Redistribution. a. Grant of Rights. You are granted a non-exclusive, worldwide,\
\ non- transferable and royalty-free limited license under Meta's intellectual property\
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\ Materials. \n \nb. Redistribution and Use. i. If you distribute or make\
\ the Llama Materials, or any derivative works thereof, available to a third party,\
\ you shall provide a copy of this Agreement to such third party. ii. If you\
\ receive Llama Materials, or any derivative works thereof, from a Licensee as\
\ part of an integrated end user product, then Section 2 of this Agreement will\
\ not apply to you. iii. You must retain in all copies of the Llama Materials that\
\ you distribute the following attribution notice within a \"Notice\" text file\
\ distributed as a part of such copies: \"Llama 2 is licensed under the LLAMA 2\
\ Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved.\"\
\ iv. Your use of the Llama Materials must comply with applicable laws and regulations\
\ (including trade compliance laws and regulations) and adhere to the Acceptable\
\ Use Policy for the Llama Materials (available at https://ai.meta.com/llama/use-policy),\
\ which is hereby incorporated by reference into this Agreement. v. You will not\
\ use the Llama Materials or any output or results of the Llama Materials to improve\
\ any other large language model (excluding Llama 2 or derivative works thereof).\
\ 2. Additional Commercial Terms. If, on the Llama 2 version release date, the\
\ monthly active users of the products or services made available by or for Licensee,\
\ or Licensee's affiliates, is greater than 700 million monthly active users in\
\ the preceding calendar month, you must request a license from Meta, which Meta\
\ may grant to you in its sole discretion, and you are not authorized to exercise\
\ any of the rights under this Agreement unless or until Meta otherwise expressly\
\ grants you such rights. 3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE\
\ LAW, THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON\
\ AN \"AS IS\" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,\
\ INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY,\
\ OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING\
\ THE APPROPRIATENESS OF USING OR REDISTRIBUTING THE LLAMA MATERIALS AND ASSUME\
\ ANY RISKS ASSOCIATED WITH YOUR USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND\
\ RESULTS. 4. Limitation of Liability. IN NO EVENT WILL META OR ITS AFFILIATES BE\
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\ PROFITS OR ANY INDIRECT, SPECIAL, CONSEQUENTIAL, INCIDENTAL, EXEMPLARY OR PUNITIVE\
\ DAMAGES, EVEN IF META OR ITS AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY\
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\ in describing and redistributing the Llama Materials. b. Subject to Meta's ownership\
\ of Llama Materials and derivatives made by or for Meta, with respect to any derivative\
\ works and modifications of the Llama Materials that are made by you, as between\
\ you and Meta, you are and will be the owner of such derivative works and modifications.\
\ c. If you institute litigation or other proceedings against Meta or any entity\
\ (including a cross-claim or counterclaim in a lawsuit) alleging that the Llama\
\ Materials or Llama 2 outputs or results, or any portion of any of the foregoing,\
\ constitutes infringement of intellectual property or other rights owned or licensable\
\ by you, then any licenses granted to you under this Agreement shall terminate\
\ as of the date such litigation or claim is filed or instituted. You will indemnify\
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\ out of or related to your use or distribution of the Llama Materials. 6. Term\
\ and Termination. The term of this Agreement will commence upon your acceptance\
\ of this Agreement or access to the Llama Materials and will continue in full\
\ force and effect until terminated in accordance with the terms and conditions\
\ herein. Meta may terminate this Agreement if you are in breach of any term or\
\ condition of this Agreement. Upon termination of this Agreement, you shall delete\
\ and cease use of the Llama Materials. Sections 3, 4 and 7 shall survive the \
\ termination of this Agreement. 7. Governing Law and Jurisdiction. This Agreement\
\ will be governed and construed under the laws of the State of California without\
\ regard to choice of law principles, and the UN Convention on Contracts for the\
\ International Sale of Goods does not apply to this Agreement. The courts of California\
\ shall have exclusive jurisdiction of any dispute arising out of this Agreement.\
\ USE POLICY ### Llama 2 Acceptable Use Policy Meta is committed to promoting safe\
\ and fair use of its tools and features, including Llama 2. If you access or use\
\ Llama 2, you agree to this Acceptable Use Policy (“Policy”). The most recent copy\
\ of this policy can be found at [ai.meta.com/llama/use-policy](http://ai.meta.com/llama/use-policy).\
\ #### Prohibited Uses We want everyone to use Llama 2 safely and responsibly. You\
\ agree you will not use, or allow others to use, Llama 2 to: 1. Violate the law\
\ or others’ rights, including to:\n 1. Engage in, promote, generate, contribute\
\ to, encourage, plan, incite, or further illegal or unlawful activity or content,\
\ such as: \n 1. Violence or terrorism \n 2. Exploitation or harm to children,\
\ including the solicitation, creation, acquisition, or dissemination of child exploitative\
\ content or failure to report Child Sexual Abuse Material\n 3. Human trafficking,\
\ exploitation, and sexual violence\n 4. The illegal distribution of information\
\ or materials to minors, including obscene materials, or failure to employ legally\
\ required age-gating in connection with such information or materials.\n 5.\
\ Sexual solicitation\n 6. Any other criminal activity\n 2. Engage in, promote,\
\ incite, or facilitate the harassment, abuse, threatening, or bullying of individuals\
\ or groups of individuals\n 3. Engage in, promote, incite, or facilitate discrimination\
\ or other unlawful or harmful conduct in the provision of employment, employment\
\ benefits, credit, housing, other economic benefits, or other essential goods and\
\ services\n 4. Engage in the unauthorized or unlicensed practice of any profession\
\ including, but not limited to, financial, legal, medical/health, or related professional\
\ practices \n 5. Collect, process, disclose, generate, or infer health, demographic,\
\ or other sensitive personal or private information about individuals without rights\
\ and consents required by applicable laws\n 6. Engage in or facilitate any action\
\ or generate any content that infringes, misappropriates, or otherwise violates\
\ any third-party rights, including the outputs or results of any products or services\
\ using the Llama 2 Materials\n 7. Create, generate, or facilitate the creation\
\ of malicious code, malware, computer viruses or do anything else that could disable,\
\ overburden, interfere with or impair the proper working, integrity, operation\
\ or appearance of a website or computer system \n2. Engage in, promote, incite,\
\ facilitate, or assist in the planning or development of activities that present\
\ a risk of death or bodily harm to individuals, including use of Llama 2 related\
\ to the following:\n 1. Military, warfare, nuclear industries or applications,\
\ espionage, use for materials or activities that are subject to the International\
\ Traffic Arms Regulations (ITAR) maintained by the United States Department of\
\ State\n 2. Guns and illegal weapons (including weapon development)\n 3. Illegal\
\ drugs and regulated/controlled substances\n 4. Operation of critical infrastructure,\
\ transportation technologies, or heavy machinery\n 5. Self-harm or harm to others,\
\ including suicide, cutting, and eating disorders\n 6. Any content intended to\
\ incite or promote violence, abuse, or any infliction of bodily harm to an individual\n\
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\ the following:\n 1. Generating, promoting, or furthering fraud or the creation\
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\ the use of Llama 2 or outputs are human-generated\n 6. Generating or facilitating\
\ false online engagement, including fake reviews and other means of fake online\
\ engagement \n 4. Fail to appropriately disclose to end users any known dangers\
\ of your AI system \nPlease report any violation of this Policy, software “bug,”\
\ or other problems that could lead to a violation of this Policy through one of\
\ the following means: * Reporting issues with the model: [github.com/facebookresearch/llama](http://github.com/facebookresearch/llama)\
\ * Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)\
\ * Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)\
\ * Reporting violations of the Acceptable Use Policy or unlicensed uses of Llama:\
\ [[email protected]](mailto:[email protected])"
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geo: ip_location
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with the Meta Privacy Policy
: checkbox
extra_gated_description: The information you provide will be collected, stored, processed
and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
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pipeline_tag: text-generation
tags:
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extra_gated_prompt: "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version\
\ Release Date: April 18, 2024\n\"Agreement\" means the terms and conditions for\
\ use, reproduction, distribution and modification of the Llama Materials set forth\
\ herein.\n\"Documentation\" means the specifications, manuals and documentation\
\ accompanying Meta Llama 3 distributed by Meta at https://llama.meta.com/get-started/.\n\
\"Licensee\" or \"you\" means you, or your employer or any other person or entity\
\ (if you are entering into this Agreement on such person or entity’s behalf), of\
\ the age required under applicable laws, rules or regulations to provide legal\
\ consent and that has legal authority to bind your employer or such other person\
\ or entity if you are entering in this Agreement on their behalf.\n\"Meta Llama\
\ 3\" means the foundational large language models and software and algorithms,\
\ including machine-learning model code, trained model weights, inference-enabling\
\ code, training-enabling code, fine-tuning enabling code and other elements of\
\ the foregoing distributed by Meta at https://llama.meta.com/llama-downloads.\n\
\"Llama Materials\" means, collectively, Meta’s proprietary Meta Llama 3 and Documentation\
\ (and any portion thereof) made available under this Agreement.\n\"Meta\" or \"\
we\" means Meta Platforms Ireland Limited (if you are located in or, if you are\
\ an entity, your principal place of business is in the EEA or Switzerland) and\
\ Meta Platforms, Inc. (if you are located outside of the EEA or Switzerland).\n\
\ \n1. License Rights and Redistribution.\na. Grant of Rights. You are granted\
\ a non-exclusive, worldwide, non-transferable and royalty-free limited license\
\ under Meta’s intellectual property or other rights owned by Meta embodied in the\
\ Llama Materials to use, reproduce, distribute, copy, create derivative works of,\
\ and make modifications to the Llama Materials.\nb. Redistribution and Use.\ni.\
\ If you distribute or make available the Llama Materials (or any derivative works\
\ thereof), or a product or service that uses any of them, including another AI\
\ model, you shall (A) provide a copy of this Agreement with any such Llama Materials;\
\ and (B) prominently display “Built with Meta Llama 3” on a related website, user\
\ interface, blogpost, about page, or product documentation. If you use the Llama\
\ Materials to create, train, fine tune, or otherwise improve an AI model, which\
\ is distributed or made available, you shall also include “Llama 3” at the beginning\
\ of any such AI model name.\nii. If you receive Llama Materials, or any derivative\
\ works thereof, from a Licensee as part of an integrated end user product, then\
\ Section 2 of this Agreement will not apply to you.\niii. You must retain in all\
\ copies of the Llama Materials that you distribute the following attribution notice\
\ within a “Notice” text file distributed as a part of such copies: “Meta Llama\
\ 3 is licensed under the Meta Llama 3 Community License, Copyright © Meta Platforms,\
\ Inc. All Rights Reserved.”\niv. Your use of the Llama Materials must comply with\
\ applicable laws and regulations (including trade compliance laws and regulations)\
\ and adhere to the Acceptable Use Policy for the Llama Materials (available at\
\ https://llama.meta.com/llama3/use-policy), which is hereby incorporated by reference\
\ into this Agreement.\nv. You will not use the Llama Materials or any output or\
\ results of the Llama Materials to improve any other large language model (excluding\
\ Meta Llama 3 or derivative works thereof).\n2. Additional Commercial Terms. If,\
\ on the Meta Llama 3 version release date, the monthly active users of the products\
\ or services made available by or for Licensee, or Licensee’s affiliates, is greater\
\ than 700 million monthly active users in the preceding calendar month, you must\
\ request a license from Meta, which Meta may grant to you in its sole discretion,\
\ and you are not authorized to exercise any of the rights under this Agreement\
\ unless or until Meta otherwise expressly grants you such rights.\n3. Disclaimer\
\ of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS AND ANY OUTPUT\
\ AND RESULTS THEREFROM ARE PROVIDED ON AN “AS IS” BASIS, WITHOUT WARRANTIES OF\
\ ANY KIND, AND META DISCLAIMS ALL WARRANTIES OF ANY KIND, BOTH EXPRESS AND IMPLIED,\
\ INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY,\
\ OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING\
\ THE APPROPRIATENESS OF USING OR REDISTRIBUTING THE LLAMA MATERIALS AND ASSUME\
\ ANY RISKS ASSOCIATED WITH YOUR USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS.\n\
4. Limitation of Liability. IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER\
\ ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY,\
\ OR OTHERWISE, ARISING OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT,\
\ SPECIAL, CONSEQUENTIAL, INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META\
\ OR ITS AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING.\n\
5. Intellectual Property.\na. No trademark licenses are granted under this Agreement,\
\ and in connection with the Llama Materials, neither Meta nor Licensee may use\
\ any name or mark owned by or associated with the other or any of its affiliates,\
\ except as required for reasonable and customary use in describing and redistributing\
\ the Llama Materials or as set forth in this Section 5(a). Meta hereby grants you\
\ a license to use “Llama 3” (the “Mark”) solely as required to comply with the\
\ last sentence of Section 1.b.i. You will comply with Meta’s brand guidelines (currently\
\ accessible at https://about.meta.com/brand/resources/meta/company-brand/ ). All\
\ goodwill arising out of your use of the Mark will inure to the benefit of Meta.\n\
b. Subject to Meta’s ownership of Llama Materials and derivatives made by or for\
\ Meta, with respect to any derivative works and modifications of the Llama Materials\
\ that are made by you, as between you and Meta, you are and will be the owner of\
\ such derivative works and modifications.\nc. If you institute litigation or other\
\ proceedings against Meta or any entity (including a cross-claim or counterclaim\
\ in a lawsuit) alleging that the Llama Materials or Meta Llama 3 outputs or results,\
\ or any portion of any of the foregoing, constitutes infringement of intellectual\
\ property or other rights owned or licensable by you, then any licenses granted\
\ to you under this Agreement shall terminate as of the date such litigation or\
\ claim is filed or instituted. You will indemnify and hold harmless Meta from and\
\ against any claim by any third party arising out of or related to your use or\
\ distribution of the Llama Materials.\n6. Term and Termination. The term of this\
\ Agreement will commence upon your acceptance of this Agreement or access to the\
\ Llama Materials and will continue in full force and effect until terminated in\
\ accordance with the terms and conditions herein. Meta may terminate this Agreement\
\ if you are in breach of any term or condition of this Agreement. Upon termination\
\ of this Agreement, you shall delete and cease use of the Llama Materials. Sections\
\ 3, 4 and 7 shall survive the termination of this Agreement.\n7. Governing Law\
\ and Jurisdiction. This Agreement will be governed and construed under the laws\
\ of the State of California without regard to choice of law principles, and the\
\ UN Convention on Contracts for the International Sale of Goods does not apply\
\ to this Agreement. The courts of California shall have exclusive jurisdiction\
\ of any dispute arising out of this Agreement.\n### Meta Llama 3 Acceptable Use\
\ Policy\nMeta is committed to promoting safe and fair use of its tools and features,\
\ including Meta Llama 3. If you access or use Meta Llama 3, you agree to this Acceptable\
\ Use Policy (“Policy”). The most recent copy of this policy can be found at [https://llama.meta.com/llama3/use-policy](https://llama.meta.com/llama3/use-policy)\n\
#### Prohibited Uses\nWe want everyone to use Meta Llama 3 safely and responsibly.\
\ You agree you will not use, or allow others to use, Meta Llama 3 to: 1. Violate\
\ the law or others’ rights, including to:\n 1. Engage in, promote, generate,\
\ contribute to, encourage, plan, incite, or further illegal or unlawful activity\
\ or content, such as:\n 1. Violence or terrorism\n 2. Exploitation\
\ or harm to children, including the solicitation, creation, acquisition, or dissemination\
\ of child exploitative content or failure to report Child Sexual Abuse Material\n\
\ 3. Human trafficking, exploitation, and sexual violence\n 4. The\
\ illegal distribution of information or materials to minors, including obscene\
\ materials, or failure to employ legally required age-gating in connection with\
\ such information or materials.\n 5. Sexual solicitation\n 6. Any\
\ other criminal activity\n 2. Engage in, promote, incite, or facilitate the\
\ harassment, abuse, threatening, or bullying of individuals or groups of individuals\n\
\ 3. Engage in, promote, incite, or facilitate discrimination or other unlawful\
\ or harmful conduct in the provision of employment, employment benefits, credit,\
\ housing, other economic benefits, or other essential goods and services\n 4.\
\ Engage in the unauthorized or unlicensed practice of any profession including,\
\ but not limited to, financial, legal, medical/health, or related professional\
\ practices\n 5. Collect, process, disclose, generate, or infer health, demographic,\
\ or other sensitive personal or private information about individuals without rights\
\ and consents required by applicable laws\n 6. Engage in or facilitate any action\
\ or generate any content that infringes, misappropriates, or otherwise violates\
\ any third-party rights, including the outputs or results of any products or services\
\ using the Llama Materials\n 7. Create, generate, or facilitate the creation\
\ of malicious code, malware, computer viruses or do anything else that could disable,\
\ overburden, interfere with or impair the proper working, integrity, operation\
\ or appearance of a website or computer system\n2. Engage in, promote, incite,\
\ facilitate, or assist in the planning or development of activities that present\
\ a risk of death or bodily harm to individuals, including use of Meta Llama 3 related\
\ to the following:\n 1. Military, warfare, nuclear industries or applications,\
\ espionage, use for materials or activities that are subject to the International\
\ Traffic Arms Regulations (ITAR) maintained by the United States Department of\
\ State\n 2. Guns and illegal weapons (including weapon development)\n 3.\
\ Illegal drugs and regulated/controlled substances\n 4. Operation of critical\
\ infrastructure, transportation technologies, or heavy machinery\n 5. Self-harm\
\ or harm to others, including suicide, cutting, and eating disorders\n 6. Any\
\ content intended to incite or promote violence, abuse, or any infliction of bodily\
\ harm to an individual\n3. Intentionally deceive or mislead others, including use\
\ of Meta Llama 3 related to the following:\n 1. Generating, promoting, or furthering\
\ fraud or the creation or promotion of disinformation\n 2. Generating, promoting,\
\ or furthering defamatory content, including the creation of defamatory statements,\
\ images, or other content\n 3. Generating, promoting, or further distributing\
\ spam\n 4. Impersonating another individual without consent, authorization,\
\ or legal right\n 5. Representing that the use of Meta Llama 3 or outputs are\
\ human-generated\n 6. Generating or facilitating false online engagement, including\
\ fake reviews and other means of fake online engagement\n4. Fail to appropriately\
\ disclose to end users any known dangers of your AI system\nPlease report any violation\
\ of this Policy, software “bug,” or other problems that could lead to a violation\
\ of this Policy through one of the following means:\n * Reporting issues with\
\ the model: [https://github.com/meta-llama/llama3](https://github.com/meta-llama/llama3)\n\
\ * Reporting risky content generated by the model:\n developers.facebook.com/llama_output_feedback\n\
\ * Reporting bugs and security concerns: facebook.com/whitehat/info\n * Reporting\
\ violations of the Acceptable Use Policy or unlicensed uses of Meta Llama 3: [email protected]"
extra_gated_fields:
First Name: text
Last Name: text
Date of birth: date_picker
Country: country
Affiliation: text
geo: ip_location
? By clicking Submit below I accept the terms of the license and acknowledge that
the information I provide will be collected stored processed and shared in accordance
with the Meta Privacy Policy
: checkbox
extra_gated_description: The information you provide will be collected, stored, processed
and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
extra_gated_button_content: Submit | null | null | null | null | [
".gitattributes",
"LICENSE",
"README.md",
"USE_POLICY.md",
"config.json",
"generation_config.json",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"original/consolidated.00.pth",
"original/params.json",
"original/tokenizer.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | null | null | null | 2024-05-13T09:36:04+00:00 | language:
- en
license: llama3
pipeline_tag: text-generation
tags:
- facebook
- meta
- pytorch
- llama
- llama-3
extra_gated_prompt: "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version\
\ Release Date: April 18, 2024\n\"Agreement\" means the terms and conditions for\
\ use, reproduction, distribution and modification of the Llama Materials set forth\
\ herein.\n\"Documentation\" means the specifications, manuals and documentation\
\ accompanying Meta Llama 3 distributed by Meta at https://llama.meta.com/get-started/.\n\
\"Licensee\" or \"you\" means you, or your employer or any other person or entity\
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we\" means Meta Platforms Ireland Limited (if you are located in or, if you are\
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\ If you distribute or make available the Llama Materials (or any derivative works\
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\ and (B) prominently display “Built with Meta Llama 3” on a related website, user\
\ interface, blogpost, about page, or product documentation. If you use the Llama\
\ Materials to create, train, fine tune, or otherwise improve an AI model, which\
\ is distributed or made available, you shall also include “Llama 3” at the beginning\
\ of any such AI model name.\nii. If you receive Llama Materials, or any derivative\
\ works thereof, from a Licensee as part of an integrated end user product, then\
\ Section 2 of this Agreement will not apply to you.\niii. You must retain in all\
\ copies of the Llama Materials that you distribute the following attribution notice\
\ within a “Notice” text file distributed as a part of such copies: “Meta Llama\
\ 3 is licensed under the Meta Llama 3 Community License, Copyright © Meta Platforms,\
\ Inc. All Rights Reserved.”\niv. Your use of the Llama Materials must comply with\
\ applicable laws and regulations (including trade compliance laws and regulations)\
\ and adhere to the Acceptable Use Policy for the Llama Materials (available at\
\ https://llama.meta.com/llama3/use-policy), which is hereby incorporated by reference\
\ into this Agreement.\nv. You will not use the Llama Materials or any output or\
\ results of the Llama Materials to improve any other large language model (excluding\
\ Meta Llama 3 or derivative works thereof).\n2. Additional Commercial Terms. If,\
\ on the Meta Llama 3 version release date, the monthly active users of the products\
\ or services made available by or for Licensee, or Licensee’s affiliates, is greater\
\ than 700 million monthly active users in the preceding calendar month, you must\
\ request a license from Meta, which Meta may grant to you in its sole discretion,\
\ and you are not authorized to exercise any of the rights under this Agreement\
\ unless or until Meta otherwise expressly grants you such rights.\n3. Disclaimer\
\ of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS AND ANY OUTPUT\
\ AND RESULTS THEREFROM ARE PROVIDED ON AN “AS IS” BASIS, WITHOUT WARRANTIES OF\
\ ANY KIND, AND META DISCLAIMS ALL WARRANTIES OF ANY KIND, BOTH EXPRESS AND IMPLIED,\
\ INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY,\
\ OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING\
\ THE APPROPRIATENESS OF USING OR REDISTRIBUTING THE LLAMA MATERIALS AND ASSUME\
\ ANY RISKS ASSOCIATED WITH YOUR USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS.\n\
4. Limitation of Liability. IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER\
\ ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY,\
\ OR OTHERWISE, ARISING OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT,\
\ SPECIAL, CONSEQUENTIAL, INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META\
\ OR ITS AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING.\n\
5. Intellectual Property.\na. No trademark licenses are granted under this Agreement,\
\ and in connection with the Llama Materials, neither Meta nor Licensee may use\
\ any name or mark owned by or associated with the other or any of its affiliates,\
\ except as required for reasonable and customary use in describing and redistributing\
\ the Llama Materials or as set forth in this Section 5(a). Meta hereby grants you\
\ a license to use “Llama 3” (the “Mark”) solely as required to comply with the\
\ last sentence of Section 1.b.i. You will comply with Meta’s brand guidelines (currently\
\ accessible at https://about.meta.com/brand/resources/meta/company-brand/ ). All\
\ goodwill arising out of your use of the Mark will inure to the benefit of Meta.\n\
b. Subject to Meta’s ownership of Llama Materials and derivatives made by or for\
\ Meta, with respect to any derivative works and modifications of the Llama Materials\
\ that are made by you, as between you and Meta, you are and will be the owner of\
\ such derivative works and modifications.\nc. If you institute litigation or other\
\ proceedings against Meta or any entity (including a cross-claim or counterclaim\
\ in a lawsuit) alleging that the Llama Materials or Meta Llama 3 outputs or results,\
\ or any portion of any of the foregoing, constitutes infringement of intellectual\
\ property or other rights owned or licensable by you, then any licenses granted\
\ to you under this Agreement shall terminate as of the date such litigation or\
\ claim is filed or instituted. You will indemnify and hold harmless Meta from and\
\ against any claim by any third party arising out of or related to your use or\
\ distribution of the Llama Materials.\n6. Term and Termination. The term of this\
\ Agreement will commence upon your acceptance of this Agreement or access to the\
\ Llama Materials and will continue in full force and effect until terminated in\
\ accordance with the terms and conditions herein. Meta may terminate this Agreement\
\ if you are in breach of any term or condition of this Agreement. Upon termination\
\ of this Agreement, you shall delete and cease use of the Llama Materials. Sections\
\ 3, 4 and 7 shall survive the termination of this Agreement.\n7. Governing Law\
\ and Jurisdiction. This Agreement will be governed and construed under the laws\
\ of the State of California without regard to choice of law principles, and the\
\ UN Convention on Contracts for the International Sale of Goods does not apply\
\ to this Agreement. The courts of California shall have exclusive jurisdiction\
\ of any dispute arising out of this Agreement.\n### Meta Llama 3 Acceptable Use\
\ Policy\nMeta is committed to promoting safe and fair use of its tools and features,\
\ including Meta Llama 3. If you access or use Meta Llama 3, you agree to this Acceptable\
\ Use Policy (“Policy”). The most recent copy of this policy can be found at [https://llama.meta.com/llama3/use-policy](https://llama.meta.com/llama3/use-policy)\n\
#### Prohibited Uses\nWe want everyone to use Meta Llama 3 safely and responsibly.\
\ You agree you will not use, or allow others to use, Meta Llama 3 to: 1. Violate\
\ the law or others’ rights, including to:\n 1. Engage in, promote, generate,\
\ contribute to, encourage, plan, incite, or further illegal or unlawful activity\
\ or content, such as:\n 1. Violence or terrorism\n 2. Exploitation\
\ or harm to children, including the solicitation, creation, acquisition, or dissemination\
\ of child exploitative content or failure to report Child Sexual Abuse Material\n\
\ 3. Human trafficking, exploitation, and sexual violence\n 4. The\
\ illegal distribution of information or materials to minors, including obscene\
\ materials, or failure to employ legally required age-gating in connection with\
\ such information or materials.\n 5. Sexual solicitation\n 6. Any\
\ other criminal activity\n 2. Engage in, promote, incite, or facilitate the\
\ harassment, abuse, threatening, or bullying of individuals or groups of individuals\n\
\ 3. Engage in, promote, incite, or facilitate discrimination or other unlawful\
\ or harmful conduct in the provision of employment, employment benefits, credit,\
\ housing, other economic benefits, or other essential goods and services\n 4.\
\ Engage in the unauthorized or unlicensed practice of any profession including,\
\ but not limited to, financial, legal, medical/health, or related professional\
\ practices\n 5. Collect, process, disclose, generate, or infer health, demographic,\
\ or other sensitive personal or private information about individuals without rights\
\ and consents required by applicable laws\n 6. Engage in or facilitate any action\
\ or generate any content that infringes, misappropriates, or otherwise violates\
\ any third-party rights, including the outputs or results of any products or services\
\ using the Llama Materials\n 7. Create, generate, or facilitate the creation\
\ of malicious code, malware, computer viruses or do anything else that could disable,\
\ overburden, interfere with or impair the proper working, integrity, operation\
\ or appearance of a website or computer system\n2. Engage in, promote, incite,\
\ facilitate, or assist in the planning or development of activities that present\
\ a risk of death or bodily harm to individuals, including use of Meta Llama 3 related\
\ to the following:\n 1. Military, warfare, nuclear industries or applications,\
\ espionage, use for materials or activities that are subject to the International\
\ Traffic Arms Regulations (ITAR) maintained by the United States Department of\
\ State\n 2. Guns and illegal weapons (including weapon development)\n 3.\
\ Illegal drugs and regulated/controlled substances\n 4. Operation of critical\
\ infrastructure, transportation technologies, or heavy machinery\n 5. Self-harm\
\ or harm to others, including suicide, cutting, and eating disorders\n 6. Any\
\ content intended to incite or promote violence, abuse, or any infliction of bodily\
\ harm to an individual\n3. Intentionally deceive or mislead others, including use\
\ of Meta Llama 3 related to the following:\n 1. Generating, promoting, or furthering\
\ fraud or the creation or promotion of disinformation\n 2. Generating, promoting,\
\ or furthering defamatory content, including the creation of defamatory statements,\
\ images, or other content\n 3. Generating, promoting, or further distributing\
\ spam\n 4. Impersonating another individual without consent, authorization,\
\ or legal right\n 5. Representing that the use of Meta Llama 3 or outputs are\
\ human-generated\n 6. Generating or facilitating false online engagement, including\
\ fake reviews and other means of fake online engagement\n4. Fail to appropriately\
\ disclose to end users any known dangers of your AI system\nPlease report any violation\
\ of this Policy, software “bug,” or other problems that could lead to a violation\
\ of this Policy through one of the following means:\n * Reporting issues with\
\ the model: [https://github.com/meta-llama/llama3](https://github.com/meta-llama/llama3)\n\
\ * Reporting risky content generated by the model:\n developers.facebook.com/llama_output_feedback\n\
\ * Reporting bugs and security concerns: facebook.com/whitehat/info\n * Reporting\
\ violations of the Acceptable Use Policy or unlicensed uses of Meta Llama 3: [email protected]"
extra_gated_fields:
First Name: text
Last Name: text
Date of birth: date_picker
Country: country
Affiliation: text
geo: ip_location
? By clicking Submit below I accept the terms of the license and acknowledge that
the information I provide will be collected stored processed and shared in accordance
with the Meta Privacy Policy
: checkbox
extra_gated_description: The information you provide will be collected, stored, processed
and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
extra_gated_button_content: Submit | null | 661f97e6cc26dfa68e4f4976 | meta-llama/Meta-Llama-Guard-2-8B |
Alibaba-NLP/gte-large-en-v1.5 | Alibaba-NLP | 104333d6af6f97649377c2afbde10a7704870c7b | 2024-08-09T03:32:05+00:00 | 2024-04-20T02:54:30Z | false | False | null | 3,446,013 | null | 207 | transformers | null | custom-code | null | [
"transformers",
"onnx",
"safetensors",
"new",
"feature-extraction",
"sentence-transformers",
"gte",
"mteb",
"transformers.js",
"sentence-similarity",
"custom_code",
"en",
"dataset:allenai/c4",
"arxiv:2407.19669",
"arxiv:2308.03281",
"license:apache-2.0",
"model-index",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | sentence-similarity | null | 3 | datasets:
- allenai/c4
language:
- en
library_name: transformers
license: apache-2.0
tags:
- sentence-transformers
- gte
- mteb
- transformers.js
- sentence-similarity
model-index:
- name: gte-large-en-v1.5
results:
- task:
type: Classification
dataset:
name: MTEB AmazonCounterfactualClassification (en)
type: mteb/amazon_counterfactual
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 73.01492537313432
verified: false
- type: ap
value: 35.05341696659522
verified: false
- type: f1
value: 66.71270310883853
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonPolarityClassification
type: mteb/amazon_polarity
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 93.97189999999999
verified: false
- type: ap
value: 90.5952493948908
verified: false
- type: f1
value: 93.95848137716877
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (en)
type: mteb/amazon_reviews_multi
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 54.196
verified: false
- type: f1
value: 53.80122334012787
verified: false
- task:
type: Retrieval
dataset:
name: MTEB ArguAna
type: mteb/arguana
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 47.297
verified: false
- type: map_at_10
value: 64.303
verified: false
- type: map_at_100
value: 64.541
verified: false
- type: map_at_1000
value: 64.541
verified: false
- type: map_at_3
value: 60.728
verified: false
- type: map_at_5
value: 63.114000000000004
verified: false
- type: mrr_at_1
value: 48.435
verified: false
- type: mrr_at_10
value: 64.657
verified: false
- type: mrr_at_100
value: 64.901
verified: false
- type: mrr_at_1000
value: 64.901
verified: false
- type: mrr_at_3
value: 61.06
verified: false
- type: mrr_at_5
value: 63.514
verified: false
- type: ndcg_at_1
value: 47.297
verified: false
- type: ndcg_at_10
value: 72.107
verified: false
- type: ndcg_at_100
value: 72.963
verified: false
- type: ndcg_at_1000
value: 72.963
verified: false
- type: ndcg_at_3
value: 65.063
verified: false
- type: ndcg_at_5
value: 69.352
verified: false
- type: precision_at_1
value: 47.297
verified: false
- type: precision_at_10
value: 9.623
verified: false
- type: precision_at_100
value: 0.996
verified: false
- type: precision_at_1000
value: 0.1
verified: false
- type: precision_at_3
value: 25.865
verified: false
- type: precision_at_5
value: 17.596
verified: false
- type: recall_at_1
value: 47.297
verified: false
- type: recall_at_10
value: 96.23
verified: false
- type: recall_at_100
value: 99.644
verified: false
- type: recall_at_1000
value: 99.644
verified: false
- type: recall_at_3
value: 77.596
verified: false
- type: recall_at_5
value: 87.98
verified: false
- task:
type: Clustering
dataset:
name: MTEB ArxivClusteringP2P
type: mteb/arxiv-clustering-p2p
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 48.467787861077475
verified: false
- task:
type: Clustering
dataset:
name: MTEB ArxivClusteringS2S
type: mteb/arxiv-clustering-s2s
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 43.39198391914257
verified: false
- task:
type: Reranking
dataset:
name: MTEB AskUbuntuDupQuestions
type: mteb/askubuntudupquestions-reranking
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 63.12794820591384
verified: false
- type: mrr
value: 75.9331442641692
verified: false
- task:
type: STS
dataset:
name: MTEB BIOSSES
type: mteb/biosses-sts
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 87.85062993863319
verified: false
- type: cos_sim_spearman
value: 85.39049989733459
verified: false
- type: euclidean_pearson
value: 86.00222680278333
verified: false
- type: euclidean_spearman
value: 85.45556162077396
verified: false
- type: manhattan_pearson
value: 85.88769871785621
verified: false
- type: manhattan_spearman
value: 85.11760211290839
verified: false
- task:
type: Classification
dataset:
name: MTEB Banking77Classification
type: mteb/banking77
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 87.32792207792208
verified: false
- type: f1
value: 87.29132945999555
verified: false
- task:
type: Clustering
dataset:
name: MTEB BiorxivClusteringP2P
type: mteb/biorxiv-clustering-p2p
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 40.5779328301945
verified: false
- task:
type: Clustering
dataset:
name: MTEB BiorxivClusteringS2S
type: mteb/biorxiv-clustering-s2s
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 37.94425623865118
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackAndroidRetrieval
type: mteb/cqadupstack-android
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 32.978
verified: false
- type: map_at_10
value: 44.45
verified: false
- type: map_at_100
value: 46.19
verified: false
- type: map_at_1000
value: 46.303
verified: false
- type: map_at_3
value: 40.849000000000004
verified: false
- type: map_at_5
value: 42.55
verified: false
- type: mrr_at_1
value: 40.629
verified: false
- type: mrr_at_10
value: 50.848000000000006
verified: false
- type: mrr_at_100
value: 51.669
verified: false
- type: mrr_at_1000
value: 51.705
verified: false
- type: mrr_at_3
value: 47.997
verified: false
- type: mrr_at_5
value: 49.506
verified: false
- type: ndcg_at_1
value: 40.629
verified: false
- type: ndcg_at_10
value: 51.102000000000004
verified: false
- type: ndcg_at_100
value: 57.159000000000006
verified: false
- type: ndcg_at_1000
value: 58.669000000000004
verified: false
- type: ndcg_at_3
value: 45.738
verified: false
- type: ndcg_at_5
value: 47.632999999999996
verified: false
- type: precision_at_1
value: 40.629
verified: false
- type: precision_at_10
value: 9.700000000000001
verified: false
- type: precision_at_100
value: 1.5970000000000002
verified: false
- type: precision_at_1000
value: 0.202
verified: false
- type: precision_at_3
value: 21.698
verified: false
- type: precision_at_5
value: 15.393
verified: false
- type: recall_at_1
value: 32.978
verified: false
- type: recall_at_10
value: 63.711
verified: false
- type: recall_at_100
value: 88.39399999999999
verified: false
- type: recall_at_1000
value: 97.513
verified: false
- type: recall_at_3
value: 48.025
verified: false
- type: recall_at_5
value: 53.52
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackEnglishRetrieval
type: mteb/cqadupstack-english
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 30.767
verified: false
- type: map_at_10
value: 42.195
verified: false
- type: map_at_100
value: 43.541999999999994
verified: false
- type: map_at_1000
value: 43.673
verified: false
- type: map_at_3
value: 38.561
verified: false
- type: map_at_5
value: 40.532000000000004
verified: false
- type: mrr_at_1
value: 38.79
verified: false
- type: mrr_at_10
value: 48.021
verified: false
- type: mrr_at_100
value: 48.735
verified: false
- type: mrr_at_1000
value: 48.776
verified: false
- type: mrr_at_3
value: 45.594
verified: false
- type: mrr_at_5
value: 46.986
verified: false
- type: ndcg_at_1
value: 38.79
verified: false
- type: ndcg_at_10
value: 48.468
verified: false
- type: ndcg_at_100
value: 53.037
verified: false
- type: ndcg_at_1000
value: 55.001999999999995
verified: false
- type: ndcg_at_3
value: 43.409
verified: false
- type: ndcg_at_5
value: 45.654
verified: false
- type: precision_at_1
value: 38.79
verified: false
- type: precision_at_10
value: 9.452
verified: false
- type: precision_at_100
value: 1.518
verified: false
- type: precision_at_1000
value: 0.201
verified: false
- type: precision_at_3
value: 21.21
verified: false
- type: precision_at_5
value: 15.171999999999999
verified: false
- type: recall_at_1
value: 30.767
verified: false
- type: recall_at_10
value: 60.118
verified: false
- type: recall_at_100
value: 79.271
verified: false
- type: recall_at_1000
value: 91.43299999999999
verified: false
- type: recall_at_3
value: 45.36
verified: false
- type: recall_at_5
value: 51.705
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackGamingRetrieval
type: mteb/cqadupstack-gaming
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 40.007
verified: false
- type: map_at_10
value: 53.529
verified: false
- type: map_at_100
value: 54.602
verified: false
- type: map_at_1000
value: 54.647
verified: false
- type: map_at_3
value: 49.951
verified: false
- type: map_at_5
value: 52.066
verified: false
- type: mrr_at_1
value: 45.705
verified: false
- type: mrr_at_10
value: 56.745000000000005
verified: false
- type: mrr_at_100
value: 57.43899999999999
verified: false
- type: mrr_at_1000
value: 57.462999999999994
verified: false
- type: mrr_at_3
value: 54.25299999999999
verified: false
- type: mrr_at_5
value: 55.842000000000006
verified: false
- type: ndcg_at_1
value: 45.705
verified: false
- type: ndcg_at_10
value: 59.809
verified: false
- type: ndcg_at_100
value: 63.837999999999994
verified: false
- type: ndcg_at_1000
value: 64.729
verified: false
- type: ndcg_at_3
value: 53.994
verified: false
- type: ndcg_at_5
value: 57.028
verified: false
- type: precision_at_1
value: 45.705
verified: false
- type: precision_at_10
value: 9.762
verified: false
- type: precision_at_100
value: 1.275
verified: false
- type: precision_at_1000
value: 0.13899999999999998
verified: false
- type: precision_at_3
value: 24.368000000000002
verified: false
- type: precision_at_5
value: 16.84
verified: false
- type: recall_at_1
value: 40.007
verified: false
- type: recall_at_10
value: 75.017
verified: false
- type: recall_at_100
value: 91.99000000000001
verified: false
- type: recall_at_1000
value: 98.265
verified: false
- type: recall_at_3
value: 59.704
verified: false
- type: recall_at_5
value: 67.109
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackGisRetrieval
type: mteb/cqadupstack-gis
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 26.639000000000003
verified: false
- type: map_at_10
value: 35.926
verified: false
- type: map_at_100
value: 37.126999999999995
verified: false
- type: map_at_1000
value: 37.202
verified: false
- type: map_at_3
value: 32.989000000000004
verified: false
- type: map_at_5
value: 34.465
verified: false
- type: mrr_at_1
value: 28.475
verified: false
- type: mrr_at_10
value: 37.7
verified: false
- type: mrr_at_100
value: 38.753
verified: false
- type: mrr_at_1000
value: 38.807
verified: false
- type: mrr_at_3
value: 35.066
verified: false
- type: mrr_at_5
value: 36.512
verified: false
- type: ndcg_at_1
value: 28.475
verified: false
- type: ndcg_at_10
value: 41.245
verified: false
- type: ndcg_at_100
value: 46.814
verified: false
- type: ndcg_at_1000
value: 48.571
verified: false
- type: ndcg_at_3
value: 35.528999999999996
verified: false
- type: ndcg_at_5
value: 38.066
verified: false
- type: precision_at_1
value: 28.475
verified: false
- type: precision_at_10
value: 6.497
verified: false
- type: precision_at_100
value: 0.9650000000000001
verified: false
- type: precision_at_1000
value: 0.11499999999999999
verified: false
- type: precision_at_3
value: 15.065999999999999
verified: false
- type: precision_at_5
value: 10.599
verified: false
- type: recall_at_1
value: 26.639000000000003
verified: false
- type: recall_at_10
value: 55.759
verified: false
- type: recall_at_100
value: 80.913
verified: false
- type: recall_at_1000
value: 93.929
verified: false
- type: recall_at_3
value: 40.454
verified: false
- type: recall_at_5
value: 46.439
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackMathematicaRetrieval
type: mteb/cqadupstack-mathematica
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 15.767999999999999
verified: false
- type: map_at_10
value: 24.811
verified: false
- type: map_at_100
value: 26.064999999999998
verified: false
- type: map_at_1000
value: 26.186999999999998
verified: false
- type: map_at_3
value: 21.736
verified: false
- type: map_at_5
value: 23.283
verified: false
- type: mrr_at_1
value: 19.527
verified: false
- type: mrr_at_10
value: 29.179
verified: false
- type: mrr_at_100
value: 30.153999999999996
verified: false
- type: mrr_at_1000
value: 30.215999999999998
verified: false
- type: mrr_at_3
value: 26.223000000000003
verified: false
- type: mrr_at_5
value: 27.733999999999998
verified: false
- type: ndcg_at_1
value: 19.527
verified: false
- type: ndcg_at_10
value: 30.786
verified: false
- type: ndcg_at_100
value: 36.644
verified: false
- type: ndcg_at_1000
value: 39.440999999999995
verified: false
- type: ndcg_at_3
value: 24.958
verified: false
- type: ndcg_at_5
value: 27.392
verified: false
- type: precision_at_1
value: 19.527
verified: false
- type: precision_at_10
value: 5.995
verified: false
- type: precision_at_100
value: 1.03
verified: false
- type: precision_at_1000
value: 0.14100000000000001
verified: false
- type: precision_at_3
value: 12.520999999999999
verified: false
- type: precision_at_5
value: 9.129
verified: false
- type: recall_at_1
value: 15.767999999999999
verified: false
- type: recall_at_10
value: 44.824000000000005
verified: false
- type: recall_at_100
value: 70.186
verified: false
- type: recall_at_1000
value: 89.934
verified: false
- type: recall_at_3
value: 28.607
verified: false
- type: recall_at_5
value: 34.836
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackPhysicsRetrieval
type: mteb/cqadupstack-physics
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 31.952
verified: false
- type: map_at_10
value: 44.438
verified: false
- type: map_at_100
value: 45.778
verified: false
- type: map_at_1000
value: 45.883
verified: false
- type: map_at_3
value: 41.044000000000004
verified: false
- type: map_at_5
value: 42.986000000000004
verified: false
- type: mrr_at_1
value: 39.172000000000004
verified: false
- type: mrr_at_10
value: 49.76
verified: false
- type: mrr_at_100
value: 50.583999999999996
verified: false
- type: mrr_at_1000
value: 50.621
verified: false
- type: mrr_at_3
value: 47.353
verified: false
- type: mrr_at_5
value: 48.739
verified: false
- type: ndcg_at_1
value: 39.172000000000004
verified: false
- type: ndcg_at_10
value: 50.760000000000005
verified: false
- type: ndcg_at_100
value: 56.084
verified: false
- type: ndcg_at_1000
value: 57.865
verified: false
- type: ndcg_at_3
value: 45.663
verified: false
- type: ndcg_at_5
value: 48.178
verified: false
- type: precision_at_1
value: 39.172000000000004
verified: false
- type: precision_at_10
value: 9.22
verified: false
- type: precision_at_100
value: 1.387
verified: false
- type: precision_at_1000
value: 0.17099999999999999
verified: false
- type: precision_at_3
value: 21.976000000000003
verified: false
- type: precision_at_5
value: 15.457
verified: false
- type: recall_at_1
value: 31.952
verified: false
- type: recall_at_10
value: 63.900999999999996
verified: false
- type: recall_at_100
value: 85.676
verified: false
- type: recall_at_1000
value: 97.03699999999999
verified: false
- type: recall_at_3
value: 49.781
verified: false
- type: recall_at_5
value: 56.330000000000005
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackProgrammersRetrieval
type: mteb/cqadupstack-programmers
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 25.332
verified: false
- type: map_at_10
value: 36.874
verified: false
- type: map_at_100
value: 38.340999999999994
verified: false
- type: map_at_1000
value: 38.452
verified: false
- type: map_at_3
value: 33.068
verified: false
- type: map_at_5
value: 35.324
verified: false
- type: mrr_at_1
value: 30.822
verified: false
- type: mrr_at_10
value: 41.641
verified: false
- type: mrr_at_100
value: 42.519
verified: false
- type: mrr_at_1000
value: 42.573
verified: false
- type: mrr_at_3
value: 38.413000000000004
verified: false
- type: mrr_at_5
value: 40.542
verified: false
- type: ndcg_at_1
value: 30.822
verified: false
- type: ndcg_at_10
value: 43.414
verified: false
- type: ndcg_at_100
value: 49.196
verified: false
- type: ndcg_at_1000
value: 51.237
verified: false
- type: ndcg_at_3
value: 37.230000000000004
verified: false
- type: ndcg_at_5
value: 40.405
verified: false
- type: precision_at_1
value: 30.822
verified: false
- type: precision_at_10
value: 8.379
verified: false
- type: precision_at_100
value: 1.315
verified: false
- type: precision_at_1000
value: 0.168
verified: false
- type: precision_at_3
value: 18.417
verified: false
- type: precision_at_5
value: 13.744
verified: false
- type: recall_at_1
value: 25.332
verified: false
- type: recall_at_10
value: 57.774
verified: false
- type: recall_at_100
value: 82.071
verified: false
- type: recall_at_1000
value: 95.60600000000001
verified: false
- type: recall_at_3
value: 40.722
verified: false
- type: recall_at_5
value: 48.754999999999995
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackRetrieval
type: mteb/cqadupstack
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 25.91033333333334
verified: false
- type: map_at_10
value: 36.23225000000001
verified: false
- type: map_at_100
value: 37.55766666666667
verified: false
- type: map_at_1000
value: 37.672583333333336
verified: false
- type: map_at_3
value: 32.95666666666667
verified: false
- type: map_at_5
value: 34.73375
verified: false
- type: mrr_at_1
value: 30.634
verified: false
- type: mrr_at_10
value: 40.19449999999999
verified: false
- type: mrr_at_100
value: 41.099250000000005
verified: false
- type: mrr_at_1000
value: 41.15091666666667
verified: false
- type: mrr_at_3
value: 37.4615
verified: false
- type: mrr_at_5
value: 39.00216666666667
verified: false
- type: ndcg_at_1
value: 30.634
verified: false
- type: ndcg_at_10
value: 42.162166666666664
verified: false
- type: ndcg_at_100
value: 47.60708333333333
verified: false
- type: ndcg_at_1000
value: 49.68616666666666
verified: false
- type: ndcg_at_3
value: 36.60316666666666
verified: false
- type: ndcg_at_5
value: 39.15616666666668
verified: false
- type: precision_at_1
value: 30.634
verified: false
- type: precision_at_10
value: 7.6193333333333335
verified: false
- type: precision_at_100
value: 1.2198333333333333
verified: false
- type: precision_at_1000
value: 0.15975000000000003
verified: false
- type: precision_at_3
value: 17.087
verified: false
- type: precision_at_5
value: 12.298333333333334
verified: false
- type: recall_at_1
value: 25.91033333333334
verified: false
- type: recall_at_10
value: 55.67300000000001
verified: false
- type: recall_at_100
value: 79.20608333333334
verified: false
- type: recall_at_1000
value: 93.34866666666667
verified: false
- type: recall_at_3
value: 40.34858333333333
verified: false
- type: recall_at_5
value: 46.834083333333325
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackStatsRetrieval
type: mteb/cqadupstack-stats
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 25.006
verified: false
- type: map_at_10
value: 32.177
verified: false
- type: map_at_100
value: 33.324999999999996
verified: false
- type: map_at_1000
value: 33.419
verified: false
- type: map_at_3
value: 29.952
verified: false
- type: map_at_5
value: 31.095
verified: false
- type: mrr_at_1
value: 28.066999999999997
verified: false
- type: mrr_at_10
value: 34.995
verified: false
- type: mrr_at_100
value: 35.978
verified: false
- type: mrr_at_1000
value: 36.042
verified: false
- type: mrr_at_3
value: 33.103
verified: false
- type: mrr_at_5
value: 34.001
verified: false
- type: ndcg_at_1
value: 28.066999999999997
verified: false
- type: ndcg_at_10
value: 36.481
verified: false
- type: ndcg_at_100
value: 42.022999999999996
verified: false
- type: ndcg_at_1000
value: 44.377
verified: false
- type: ndcg_at_3
value: 32.394
verified: false
- type: ndcg_at_5
value: 34.108
verified: false
- type: precision_at_1
value: 28.066999999999997
verified: false
- type: precision_at_10
value: 5.736
verified: false
- type: precision_at_100
value: 0.9259999999999999
verified: false
- type: precision_at_1000
value: 0.12
verified: false
- type: precision_at_3
value: 13.804
verified: false
- type: precision_at_5
value: 9.508999999999999
verified: false
- type: recall_at_1
value: 25.006
verified: false
- type: recall_at_10
value: 46.972
verified: false
- type: recall_at_100
value: 72.138
verified: false
- type: recall_at_1000
value: 89.479
verified: false
- type: recall_at_3
value: 35.793
verified: false
- type: recall_at_5
value: 39.947
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackTexRetrieval
type: mteb/cqadupstack-tex
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 16.07
verified: false
- type: map_at_10
value: 24.447
verified: false
- type: map_at_100
value: 25.685999999999996
verified: false
- type: map_at_1000
value: 25.813999999999997
verified: false
- type: map_at_3
value: 21.634
verified: false
- type: map_at_5
value: 23.133
verified: false
- type: mrr_at_1
value: 19.580000000000002
verified: false
- type: mrr_at_10
value: 28.127999999999997
verified: false
- type: mrr_at_100
value: 29.119
verified: false
- type: mrr_at_1000
value: 29.192
verified: false
- type: mrr_at_3
value: 25.509999999999998
verified: false
- type: mrr_at_5
value: 26.878
verified: false
- type: ndcg_at_1
value: 19.580000000000002
verified: false
- type: ndcg_at_10
value: 29.804000000000002
verified: false
- type: ndcg_at_100
value: 35.555
verified: false
- type: ndcg_at_1000
value: 38.421
verified: false
- type: ndcg_at_3
value: 24.654999999999998
verified: false
- type: ndcg_at_5
value: 26.881
verified: false
- type: precision_at_1
value: 19.580000000000002
verified: false
- type: precision_at_10
value: 5.736
verified: false
- type: precision_at_100
value: 1.005
verified: false
- type: precision_at_1000
value: 0.145
verified: false
- type: precision_at_3
value: 12.033000000000001
verified: false
- type: precision_at_5
value: 8.871
verified: false
- type: recall_at_1
value: 16.07
verified: false
- type: recall_at_10
value: 42.364000000000004
verified: false
- type: recall_at_100
value: 68.01899999999999
verified: false
- type: recall_at_1000
value: 88.122
verified: false
- type: recall_at_3
value: 27.846
verified: false
- type: recall_at_5
value: 33.638
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackUnixRetrieval
type: mteb/cqadupstack-unix
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 26.365
verified: false
- type: map_at_10
value: 36.591
verified: false
- type: map_at_100
value: 37.730000000000004
verified: false
- type: map_at_1000
value: 37.84
verified: false
- type: map_at_3
value: 33.403
verified: false
- type: map_at_5
value: 35.272999999999996
verified: false
- type: mrr_at_1
value: 30.503999999999998
verified: false
- type: mrr_at_10
value: 39.940999999999995
verified: false
- type: mrr_at_100
value: 40.818
verified: false
- type: mrr_at_1000
value: 40.876000000000005
verified: false
- type: mrr_at_3
value: 37.065
verified: false
- type: mrr_at_5
value: 38.814
verified: false
- type: ndcg_at_1
value: 30.503999999999998
verified: false
- type: ndcg_at_10
value: 42.185
verified: false
- type: ndcg_at_100
value: 47.416000000000004
verified: false
- type: ndcg_at_1000
value: 49.705
verified: false
- type: ndcg_at_3
value: 36.568
verified: false
- type: ndcg_at_5
value: 39.416000000000004
verified: false
- type: precision_at_1
value: 30.503999999999998
verified: false
- type: precision_at_10
value: 7.276000000000001
verified: false
- type: precision_at_100
value: 1.118
verified: false
- type: precision_at_1000
value: 0.14300000000000002
verified: false
- type: precision_at_3
value: 16.729
verified: false
- type: precision_at_5
value: 12.107999999999999
verified: false
- type: recall_at_1
value: 26.365
verified: false
- type: recall_at_10
value: 55.616
verified: false
- type: recall_at_100
value: 78.129
verified: false
- type: recall_at_1000
value: 93.95599999999999
verified: false
- type: recall_at_3
value: 40.686
verified: false
- type: recall_at_5
value: 47.668
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackWebmastersRetrieval
type: mteb/cqadupstack-webmasters
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 22.750999999999998
verified: false
- type: map_at_10
value: 33.446
verified: false
- type: map_at_100
value: 35.235
verified: false
- type: map_at_1000
value: 35.478
verified: false
- type: map_at_3
value: 29.358
verified: false
- type: map_at_5
value: 31.525
verified: false
- type: mrr_at_1
value: 27.668
verified: false
- type: mrr_at_10
value: 37.694
verified: false
- type: mrr_at_100
value: 38.732
verified: false
- type: mrr_at_1000
value: 38.779
verified: false
- type: mrr_at_3
value: 34.223
verified: false
- type: mrr_at_5
value: 36.08
verified: false
- type: ndcg_at_1
value: 27.668
verified: false
- type: ndcg_at_10
value: 40.557
verified: false
- type: ndcg_at_100
value: 46.605999999999995
verified: false
- type: ndcg_at_1000
value: 48.917
verified: false
- type: ndcg_at_3
value: 33.677
verified: false
- type: ndcg_at_5
value: 36.85
verified: false
- type: precision_at_1
value: 27.668
verified: false
- type: precision_at_10
value: 8.3
verified: false
- type: precision_at_100
value: 1.6260000000000001
verified: false
- type: precision_at_1000
value: 0.253
verified: false
- type: precision_at_3
value: 16.008
verified: false
- type: precision_at_5
value: 12.292
verified: false
- type: recall_at_1
value: 22.750999999999998
verified: false
- type: recall_at_10
value: 55.643
verified: false
- type: recall_at_100
value: 82.151
verified: false
- type: recall_at_1000
value: 95.963
verified: false
- type: recall_at_3
value: 36.623
verified: false
- type: recall_at_5
value: 44.708
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackWordpressRetrieval
type: mteb/cqadupstack-wordpress
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 17.288999999999998
verified: false
- type: map_at_10
value: 25.903
verified: false
- type: map_at_100
value: 27.071
verified: false
- type: map_at_1000
value: 27.173000000000002
verified: false
- type: map_at_3
value: 22.935
verified: false
- type: map_at_5
value: 24.573
verified: false
- type: mrr_at_1
value: 18.669
verified: false
- type: mrr_at_10
value: 27.682000000000002
verified: false
- type: mrr_at_100
value: 28.691
verified: false
- type: mrr_at_1000
value: 28.761
verified: false
- type: mrr_at_3
value: 24.738
verified: false
- type: mrr_at_5
value: 26.392
verified: false
- type: ndcg_at_1
value: 18.669
verified: false
- type: ndcg_at_10
value: 31.335
verified: false
- type: ndcg_at_100
value: 36.913000000000004
verified: false
- type: ndcg_at_1000
value: 39.300000000000004
verified: false
- type: ndcg_at_3
value: 25.423000000000002
verified: false
- type: ndcg_at_5
value: 28.262999999999998
verified: false
- type: precision_at_1
value: 18.669
verified: false
- type: precision_at_10
value: 5.379
verified: false
- type: precision_at_100
value: 0.876
verified: false
- type: precision_at_1000
value: 0.11900000000000001
verified: false
- type: precision_at_3
value: 11.214
verified: false
- type: precision_at_5
value: 8.466
verified: false
- type: recall_at_1
value: 17.288999999999998
verified: false
- type: recall_at_10
value: 46.377
verified: false
- type: recall_at_100
value: 71.53500000000001
verified: false
- type: recall_at_1000
value: 88.947
verified: false
- type: recall_at_3
value: 30.581999999999997
verified: false
- type: recall_at_5
value: 37.354
verified: false
- task:
type: Retrieval
dataset:
name: MTEB ClimateFEVER
type: mteb/climate-fever
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 21.795
verified: false
- type: map_at_10
value: 37.614999999999995
verified: false
- type: map_at_100
value: 40.037
verified: false
- type: map_at_1000
value: 40.184999999999995
verified: false
- type: map_at_3
value: 32.221
verified: false
- type: map_at_5
value: 35.154999999999994
verified: false
- type: mrr_at_1
value: 50.358000000000004
verified: false
- type: mrr_at_10
value: 62.129
verified: false
- type: mrr_at_100
value: 62.613
verified: false
- type: mrr_at_1000
value: 62.62
verified: false
- type: mrr_at_3
value: 59.272999999999996
verified: false
- type: mrr_at_5
value: 61.138999999999996
verified: false
- type: ndcg_at_1
value: 50.358000000000004
verified: false
- type: ndcg_at_10
value: 48.362
verified: false
- type: ndcg_at_100
value: 55.932
verified: false
- type: ndcg_at_1000
value: 58.062999999999995
verified: false
- type: ndcg_at_3
value: 42.111
verified: false
- type: ndcg_at_5
value: 44.063
verified: false
- type: precision_at_1
value: 50.358000000000004
verified: false
- type: precision_at_10
value: 14.677999999999999
verified: false
- type: precision_at_100
value: 2.2950000000000004
verified: false
- type: precision_at_1000
value: 0.271
verified: false
- type: precision_at_3
value: 31.77
verified: false
- type: precision_at_5
value: 23.375
verified: false
- type: recall_at_1
value: 21.795
verified: false
- type: recall_at_10
value: 53.846000000000004
verified: false
- type: recall_at_100
value: 78.952
verified: false
- type: recall_at_1000
value: 90.41900000000001
verified: false
- type: recall_at_3
value: 37.257
verified: false
- type: recall_at_5
value: 44.661
verified: false
- task:
type: Retrieval
dataset:
name: MTEB DBPedia
type: mteb/dbpedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 9.728
verified: false
- type: map_at_10
value: 22.691
verified: false
- type: map_at_100
value: 31.734
verified: false
- type: map_at_1000
value: 33.464
verified: false
- type: map_at_3
value: 16.273
verified: false
- type: map_at_5
value: 19.016
verified: false
- type: mrr_at_1
value: 73.25
verified: false
- type: mrr_at_10
value: 80.782
verified: false
- type: mrr_at_100
value: 81.01899999999999
verified: false
- type: mrr_at_1000
value: 81.021
verified: false
- type: mrr_at_3
value: 79.583
verified: false
- type: mrr_at_5
value: 80.146
verified: false
- type: ndcg_at_1
value: 59.62499999999999
verified: false
- type: ndcg_at_10
value: 46.304
verified: false
- type: ndcg_at_100
value: 51.23
verified: false
- type: ndcg_at_1000
value: 58.048
verified: false
- type: ndcg_at_3
value: 51.541000000000004
verified: false
- type: ndcg_at_5
value: 48.635
verified: false
- type: precision_at_1
value: 73.25
verified: false
- type: precision_at_10
value: 36.375
verified: false
- type: precision_at_100
value: 11.53
verified: false
- type: precision_at_1000
value: 2.23
verified: false
- type: precision_at_3
value: 55.583000000000006
verified: false
- type: precision_at_5
value: 47.15
verified: false
- type: recall_at_1
value: 9.728
verified: false
- type: recall_at_10
value: 28.793999999999997
verified: false
- type: recall_at_100
value: 57.885
verified: false
- type: recall_at_1000
value: 78.759
verified: false
- type: recall_at_3
value: 17.79
verified: false
- type: recall_at_5
value: 21.733
verified: false
- task:
type: Classification
dataset:
name: MTEB EmotionClassification
type: mteb/emotion
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 46.775
verified: false
- type: f1
value: 41.89794273264891
verified: false
- task:
type: Retrieval
dataset:
name: MTEB FEVER
type: mteb/fever
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 85.378
verified: false
- type: map_at_10
value: 91.51
verified: false
- type: map_at_100
value: 91.666
verified: false
- type: map_at_1000
value: 91.676
verified: false
- type: map_at_3
value: 90.757
verified: false
- type: map_at_5
value: 91.277
verified: false
- type: mrr_at_1
value: 91.839
verified: false
- type: mrr_at_10
value: 95.49
verified: false
- type: mrr_at_100
value: 95.493
verified: false
- type: mrr_at_1000
value: 95.493
verified: false
- type: mrr_at_3
value: 95.345
verified: false
- type: mrr_at_5
value: 95.47200000000001
verified: false
- type: ndcg_at_1
value: 91.839
verified: false
- type: ndcg_at_10
value: 93.806
verified: false
- type: ndcg_at_100
value: 94.255
verified: false
- type: ndcg_at_1000
value: 94.399
verified: false
- type: ndcg_at_3
value: 93.027
verified: false
- type: ndcg_at_5
value: 93.51
verified: false
- type: precision_at_1
value: 91.839
verified: false
- type: precision_at_10
value: 10.93
verified: false
- type: precision_at_100
value: 1.1400000000000001
verified: false
- type: precision_at_1000
value: 0.117
verified: false
- type: precision_at_3
value: 34.873
verified: false
- type: precision_at_5
value: 21.44
verified: false
- type: recall_at_1
value: 85.378
verified: false
- type: recall_at_10
value: 96.814
verified: false
- type: recall_at_100
value: 98.386
verified: false
- type: recall_at_1000
value: 99.21600000000001
verified: false
- type: recall_at_3
value: 94.643
verified: false
- type: recall_at_5
value: 95.976
verified: false
- task:
type: Retrieval
dataset:
name: MTEB FiQA2018
type: mteb/fiqa
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 32.190000000000005
verified: false
- type: map_at_10
value: 53.605000000000004
verified: false
- type: map_at_100
value: 55.550999999999995
verified: false
- type: map_at_1000
value: 55.665
verified: false
- type: map_at_3
value: 46.62
verified: false
- type: map_at_5
value: 50.517999999999994
verified: false
- type: mrr_at_1
value: 60.34
verified: false
- type: mrr_at_10
value: 70.775
verified: false
- type: mrr_at_100
value: 71.238
verified: false
- type: mrr_at_1000
value: 71.244
verified: false
- type: mrr_at_3
value: 68.72399999999999
verified: false
- type: mrr_at_5
value: 69.959
verified: false
- type: ndcg_at_1
value: 60.34
verified: false
- type: ndcg_at_10
value: 63.226000000000006
verified: false
- type: ndcg_at_100
value: 68.60300000000001
verified: false
- type: ndcg_at_1000
value: 69.901
verified: false
- type: ndcg_at_3
value: 58.048
verified: false
- type: ndcg_at_5
value: 59.789
verified: false
- type: precision_at_1
value: 60.34
verified: false
- type: precision_at_10
value: 17.130000000000003
verified: false
- type: precision_at_100
value: 2.29
verified: false
- type: precision_at_1000
value: 0.256
verified: false
- type: precision_at_3
value: 38.323
verified: false
- type: precision_at_5
value: 27.87
verified: false
- type: recall_at_1
value: 32.190000000000005
verified: false
- type: recall_at_10
value: 73.041
verified: false
- type: recall_at_100
value: 91.31
verified: false
- type: recall_at_1000
value: 98.104
verified: false
- type: recall_at_3
value: 53.70399999999999
verified: false
- type: recall_at_5
value: 62.358999999999995
verified: false
- task:
type: Retrieval
dataset:
name: MTEB HotpotQA
type: mteb/hotpotqa
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 43.511
verified: false
- type: map_at_10
value: 58.15
verified: false
- type: map_at_100
value: 58.95399999999999
verified: false
- type: map_at_1000
value: 59.018
verified: false
- type: map_at_3
value: 55.31700000000001
verified: false
- type: map_at_5
value: 57.04900000000001
verified: false
- type: mrr_at_1
value: 87.022
verified: false
- type: mrr_at_10
value: 91.32000000000001
verified: false
- type: mrr_at_100
value: 91.401
verified: false
- type: mrr_at_1000
value: 91.403
verified: false
- type: mrr_at_3
value: 90.77
verified: false
- type: mrr_at_5
value: 91.156
verified: false
- type: ndcg_at_1
value: 87.022
verified: false
- type: ndcg_at_10
value: 68.183
verified: false
- type: ndcg_at_100
value: 70.781
verified: false
- type: ndcg_at_1000
value: 72.009
verified: false
- type: ndcg_at_3
value: 64.334
verified: false
- type: ndcg_at_5
value: 66.449
verified: false
- type: precision_at_1
value: 87.022
verified: false
- type: precision_at_10
value: 13.406
verified: false
- type: precision_at_100
value: 1.542
verified: false
- type: precision_at_1000
value: 0.17099999999999999
verified: false
- type: precision_at_3
value: 39.023
verified: false
- type: precision_at_5
value: 25.080000000000002
verified: false
- type: recall_at_1
value: 43.511
verified: false
- type: recall_at_10
value: 67.02900000000001
verified: false
- type: recall_at_100
value: 77.11
verified: false
- type: recall_at_1000
value: 85.294
verified: false
- type: recall_at_3
value: 58.535000000000004
verified: false
- type: recall_at_5
value: 62.70099999999999
verified: false
- task:
type: Classification
dataset:
name: MTEB ImdbClassification
type: mteb/imdb
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 92.0996
verified: false
- type: ap
value: 87.86206089096373
verified: false
- type: f1
value: 92.07554547510763
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MSMARCO
type: mteb/msmarco
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 23.179
verified: false
- type: map_at_10
value: 35.86
verified: false
- type: map_at_100
value: 37.025999999999996
verified: false
- type: map_at_1000
value: 37.068
verified: false
- type: map_at_3
value: 31.921
verified: false
- type: map_at_5
value: 34.172000000000004
verified: false
- type: mrr_at_1
value: 23.926
verified: false
- type: mrr_at_10
value: 36.525999999999996
verified: false
- type: mrr_at_100
value: 37.627
verified: false
- type: mrr_at_1000
value: 37.665
verified: false
- type: mrr_at_3
value: 32.653
verified: false
- type: mrr_at_5
value: 34.897
verified: false
- type: ndcg_at_1
value: 23.910999999999998
verified: false
- type: ndcg_at_10
value: 42.927
verified: false
- type: ndcg_at_100
value: 48.464
verified: false
- type: ndcg_at_1000
value: 49.533
verified: false
- type: ndcg_at_3
value: 34.910000000000004
verified: false
- type: ndcg_at_5
value: 38.937
verified: false
- type: precision_at_1
value: 23.910999999999998
verified: false
- type: precision_at_10
value: 6.758
verified: false
- type: precision_at_100
value: 0.9520000000000001
verified: false
- type: precision_at_1000
value: 0.104
verified: false
- type: precision_at_3
value: 14.838000000000001
verified: false
- type: precision_at_5
value: 10.934000000000001
verified: false
- type: recall_at_1
value: 23.179
verified: false
- type: recall_at_10
value: 64.622
verified: false
- type: recall_at_100
value: 90.135
verified: false
- type: recall_at_1000
value: 98.301
verified: false
- type: recall_at_3
value: 42.836999999999996
verified: false
- type: recall_at_5
value: 52.512
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPDomainClassification (en)
type: mteb/mtop_domain
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 96.59598723210215
verified: false
- type: f1
value: 96.41913500001952
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPIntentClassification (en)
type: mteb/mtop_intent
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 82.89557683538533
verified: false
- type: f1
value: 63.379319722356264
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveIntentClassification (en)
type: mteb/amazon_massive_intent
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 78.93745796906524
verified: false
- type: f1
value: 75.71616541785902
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (en)
type: mteb/amazon_massive_scenario
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 81.41223940820443
verified: false
- type: f1
value: 81.2877893719078
verified: false
- task:
type: Clustering
dataset:
name: MTEB MedrxivClusteringP2P
type: mteb/medrxiv-clustering-p2p
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 35.03682528325662
verified: false
- task:
type: Clustering
dataset:
name: MTEB MedrxivClusteringS2S
type: mteb/medrxiv-clustering-s2s
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 32.942529406124
verified: false
- task:
type: Reranking
dataset:
name: MTEB MindSmallReranking
type: mteb/mind_small
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 31.459949660460317
verified: false
- type: mrr
value: 32.70509582031616
verified: false
- task:
type: Retrieval
dataset:
name: MTEB NFCorpus
type: mteb/nfcorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 6.497
verified: false
- type: map_at_10
value: 13.843
verified: false
- type: map_at_100
value: 17.713
verified: false
- type: map_at_1000
value: 19.241
verified: false
- type: map_at_3
value: 10.096
verified: false
- type: map_at_5
value: 11.85
verified: false
- type: mrr_at_1
value: 48.916
verified: false
- type: mrr_at_10
value: 57.764
verified: false
- type: mrr_at_100
value: 58.251
verified: false
- type: mrr_at_1000
value: 58.282999999999994
verified: false
- type: mrr_at_3
value: 55.623999999999995
verified: false
- type: mrr_at_5
value: 57.018
verified: false
- type: ndcg_at_1
value: 46.594
verified: false
- type: ndcg_at_10
value: 36.945
verified: false
- type: ndcg_at_100
value: 34.06
verified: false
- type: ndcg_at_1000
value: 43.05
verified: false
- type: ndcg_at_3
value: 41.738
verified: false
- type: ndcg_at_5
value: 39.330999999999996
verified: false
- type: precision_at_1
value: 48.916
verified: false
- type: precision_at_10
value: 27.43
verified: false
- type: precision_at_100
value: 8.616
verified: false
- type: precision_at_1000
value: 2.155
verified: false
- type: precision_at_3
value: 39.112
verified: false
- type: precision_at_5
value: 33.808
verified: false
- type: recall_at_1
value: 6.497
verified: false
- type: recall_at_10
value: 18.163
verified: false
- type: recall_at_100
value: 34.566
verified: false
- type: recall_at_1000
value: 67.15
verified: false
- type: recall_at_3
value: 11.100999999999999
verified: false
- type: recall_at_5
value: 14.205000000000002
verified: false
- task:
type: Retrieval
dataset:
name: MTEB NQ
type: mteb/nq
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 31.916
verified: false
- type: map_at_10
value: 48.123
verified: false
- type: map_at_100
value: 49.103
verified: false
- type: map_at_1000
value: 49.131
verified: false
- type: map_at_3
value: 43.711
verified: false
- type: map_at_5
value: 46.323
verified: false
- type: mrr_at_1
value: 36.181999999999995
verified: false
- type: mrr_at_10
value: 50.617999999999995
verified: false
- type: mrr_at_100
value: 51.329
verified: false
- type: mrr_at_1000
value: 51.348000000000006
verified: false
- type: mrr_at_3
value: 47.010999999999996
verified: false
- type: mrr_at_5
value: 49.175000000000004
verified: false
- type: ndcg_at_1
value: 36.181999999999995
verified: false
- type: ndcg_at_10
value: 56.077999999999996
verified: false
- type: ndcg_at_100
value: 60.037
verified: false
- type: ndcg_at_1000
value: 60.63499999999999
verified: false
- type: ndcg_at_3
value: 47.859
verified: false
- type: ndcg_at_5
value: 52.178999999999995
verified: false
- type: precision_at_1
value: 36.181999999999995
verified: false
- type: precision_at_10
value: 9.284
verified: false
- type: precision_at_100
value: 1.149
verified: false
- type: precision_at_1000
value: 0.121
verified: false
- type: precision_at_3
value: 22.006999999999998
verified: false
- type: precision_at_5
value: 15.695
verified: false
- type: recall_at_1
value: 31.916
verified: false
- type: recall_at_10
value: 77.771
verified: false
- type: recall_at_100
value: 94.602
verified: false
- type: recall_at_1000
value: 98.967
verified: false
- type: recall_at_3
value: 56.528
verified: false
- type: recall_at_5
value: 66.527
verified: false
- task:
type: Retrieval
dataset:
name: MTEB QuoraRetrieval
type: mteb/quora
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 71.486
verified: false
- type: map_at_10
value: 85.978
verified: false
- type: map_at_100
value: 86.587
verified: false
- type: map_at_1000
value: 86.598
verified: false
- type: map_at_3
value: 83.04899999999999
verified: false
- type: map_at_5
value: 84.857
verified: false
- type: mrr_at_1
value: 82.32000000000001
verified: false
- type: mrr_at_10
value: 88.64
verified: false
- type: mrr_at_100
value: 88.702
verified: false
- type: mrr_at_1000
value: 88.702
verified: false
- type: mrr_at_3
value: 87.735
verified: false
- type: mrr_at_5
value: 88.36
verified: false
- type: ndcg_at_1
value: 82.34
verified: false
- type: ndcg_at_10
value: 89.67
verified: false
- type: ndcg_at_100
value: 90.642
verified: false
- type: ndcg_at_1000
value: 90.688
verified: false
- type: ndcg_at_3
value: 86.932
verified: false
- type: ndcg_at_5
value: 88.408
verified: false
- type: precision_at_1
value: 82.34
verified: false
- type: precision_at_10
value: 13.675999999999998
verified: false
- type: precision_at_100
value: 1.544
verified: false
- type: precision_at_1000
value: 0.157
verified: false
- type: precision_at_3
value: 38.24
verified: false
- type: precision_at_5
value: 25.068
verified: false
- type: recall_at_1
value: 71.486
verified: false
- type: recall_at_10
value: 96.844
verified: false
- type: recall_at_100
value: 99.843
verified: false
- type: recall_at_1000
value: 99.996
verified: false
- type: recall_at_3
value: 88.92099999999999
verified: false
- type: recall_at_5
value: 93.215
verified: false
- task:
type: Clustering
dataset:
name: MTEB RedditClustering
type: mteb/reddit-clustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 59.75758437908334
verified: false
- task:
type: Clustering
dataset:
name: MTEB RedditClusteringP2P
type: mteb/reddit-clustering-p2p
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 68.03497914092789
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SCIDOCS
type: mteb/scidocs
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 5.808
verified: false
- type: map_at_10
value: 16.059
verified: false
- type: map_at_100
value: 19.048000000000002
verified: false
- type: map_at_1000
value: 19.43
verified: false
- type: map_at_3
value: 10.953
verified: false
- type: map_at_5
value: 13.363
verified: false
- type: mrr_at_1
value: 28.7
verified: false
- type: mrr_at_10
value: 42.436
verified: false
- type: mrr_at_100
value: 43.599
verified: false
- type: mrr_at_1000
value: 43.62
verified: false
- type: mrr_at_3
value: 38.45
verified: false
- type: mrr_at_5
value: 40.89
verified: false
- type: ndcg_at_1
value: 28.7
verified: false
- type: ndcg_at_10
value: 26.346000000000004
verified: false
- type: ndcg_at_100
value: 36.758
verified: false
- type: ndcg_at_1000
value: 42.113
verified: false
- type: ndcg_at_3
value: 24.254
verified: false
- type: ndcg_at_5
value: 21.506
verified: false
- type: precision_at_1
value: 28.7
verified: false
- type: precision_at_10
value: 13.969999999999999
verified: false
- type: precision_at_100
value: 2.881
verified: false
- type: precision_at_1000
value: 0.414
verified: false
- type: precision_at_3
value: 22.933
verified: false
- type: precision_at_5
value: 19.220000000000002
verified: false
- type: recall_at_1
value: 5.808
verified: false
- type: recall_at_10
value: 28.310000000000002
verified: false
- type: recall_at_100
value: 58.475
verified: false
- type: recall_at_1000
value: 84.072
verified: false
- type: recall_at_3
value: 13.957
verified: false
- type: recall_at_5
value: 19.515
verified: false
- task:
type: STS
dataset:
name: MTEB SICK-R
type: mteb/sickr-sts
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 82.39274129958557
verified: false
- type: cos_sim_spearman
value: 79.78021235170053
verified: false
- type: euclidean_pearson
value: 79.35335401300166
verified: false
- type: euclidean_spearman
value: 79.7271870968275
verified: false
- type: manhattan_pearson
value: 79.35256263340601
verified: false
- type: manhattan_spearman
value: 79.76036386976321
verified: false
- task:
type: STS
dataset:
name: MTEB STS12
type: mteb/sts12-sts
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 83.99130429246708
verified: false
- type: cos_sim_spearman
value: 73.88322811171203
verified: false
- type: euclidean_pearson
value: 80.7569419170376
verified: false
- type: euclidean_spearman
value: 73.82542155409597
verified: false
- type: manhattan_pearson
value: 80.79468183847625
verified: false
- type: manhattan_spearman
value: 73.87027144047784
verified: false
- task:
type: STS
dataset:
name: MTEB STS13
type: mteb/sts13-sts
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 84.88548789489907
verified: false
- type: cos_sim_spearman
value: 85.07535893847255
verified: false
- type: euclidean_pearson
value: 84.6637222061494
verified: false
- type: euclidean_spearman
value: 85.14200626702456
verified: false
- type: manhattan_pearson
value: 84.75327892344734
verified: false
- type: manhattan_spearman
value: 85.24406181838596
verified: false
- task:
type: STS
dataset:
name: MTEB STS14
type: mteb/sts14-sts
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 82.88140039325008
verified: false
- type: cos_sim_spearman
value: 79.61211268112362
verified: false
- type: euclidean_pearson
value: 81.29639728816458
verified: false
- type: euclidean_spearman
value: 79.51284578041442
verified: false
- type: manhattan_pearson
value: 81.3381797137111
verified: false
- type: manhattan_spearman
value: 79.55683684039808
verified: false
- task:
type: STS
dataset:
name: MTEB STS15
type: mteb/sts15-sts
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 85.16716737270485
verified: false
- type: cos_sim_spearman
value: 86.14823841857738
verified: false
- type: euclidean_pearson
value: 85.36325733440725
verified: false
- type: euclidean_spearman
value: 86.04919691402029
verified: false
- type: manhattan_pearson
value: 85.3147511385052
verified: false
- type: manhattan_spearman
value: 86.00676205857764
verified: false
- task:
type: STS
dataset:
name: MTEB STS16
type: mteb/sts16-sts
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 80.34266645861588
verified: false
- type: cos_sim_spearman
value: 81.59914035005882
verified: false
- type: euclidean_pearson
value: 81.15053076245988
verified: false
- type: euclidean_spearman
value: 81.52776915798489
verified: false
- type: manhattan_pearson
value: 81.1819647418673
verified: false
- type: manhattan_spearman
value: 81.57479527353556
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (en-en)
type: mteb/sts17-crosslingual-sts
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 89.38263326821439
verified: false
- type: cos_sim_spearman
value: 89.10946308202642
verified: false
- type: euclidean_pearson
value: 88.87831312540068
verified: false
- type: euclidean_spearman
value: 89.03615865973664
verified: false
- type: manhattan_pearson
value: 88.79835539970384
verified: false
- type: manhattan_spearman
value: 88.9766156339753
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (en)
type: mteb/sts22-crosslingual-sts
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 70.1574915581685
verified: false
- type: cos_sim_spearman
value: 70.59144980004054
verified: false
- type: euclidean_pearson
value: 71.43246306918755
verified: false
- type: euclidean_spearman
value: 70.5544189562984
verified: false
- type: manhattan_pearson
value: 71.4071414609503
verified: false
- type: manhattan_spearman
value: 70.31799126163712
verified: false
- task:
type: STS
dataset:
name: MTEB STSBenchmark
type: mteb/stsbenchmark-sts
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 83.36215796635351
verified: false
- type: cos_sim_spearman
value: 83.07276756467208
verified: false
- type: euclidean_pearson
value: 83.06690453635584
verified: false
- type: euclidean_spearman
value: 82.9635366303289
verified: false
- type: manhattan_pearson
value: 83.04994049700815
verified: false
- type: manhattan_spearman
value: 82.98120125356036
verified: false
- task:
type: Reranking
dataset:
name: MTEB SciDocsRR
type: mteb/scidocs-reranking
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 86.92530011616722
verified: false
- type: mrr
value: 96.21826793395421
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SciFact
type: mteb/scifact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 65.75
verified: false
- type: map_at_10
value: 77.701
verified: false
- type: map_at_100
value: 78.005
verified: false
- type: map_at_1000
value: 78.006
verified: false
- type: map_at_3
value: 75.48
verified: false
- type: map_at_5
value: 76.927
verified: false
- type: mrr_at_1
value: 68.333
verified: false
- type: mrr_at_10
value: 78.511
verified: false
- type: mrr_at_100
value: 78.704
verified: false
- type: mrr_at_1000
value: 78.704
verified: false
- type: mrr_at_3
value: 77
verified: false
- type: mrr_at_5
value: 78.083
verified: false
- type: ndcg_at_1
value: 68.333
verified: false
- type: ndcg_at_10
value: 82.42699999999999
verified: false
- type: ndcg_at_100
value: 83.486
verified: false
- type: ndcg_at_1000
value: 83.511
verified: false
- type: ndcg_at_3
value: 78.96300000000001
verified: false
- type: ndcg_at_5
value: 81.028
verified: false
- type: precision_at_1
value: 68.333
verified: false
- type: precision_at_10
value: 10.667
verified: false
- type: precision_at_100
value: 1.127
verified: false
- type: precision_at_1000
value: 0.11299999999999999
verified: false
- type: precision_at_3
value: 31.333
verified: false
- type: precision_at_5
value: 20.133000000000003
verified: false
- type: recall_at_1
value: 65.75
verified: false
- type: recall_at_10
value: 95.578
verified: false
- type: recall_at_100
value: 99.833
verified: false
- type: recall_at_1000
value: 100
verified: false
- type: recall_at_3
value: 86.506
verified: false
- type: recall_at_5
value: 91.75
verified: false
- task:
type: PairClassification
dataset:
name: MTEB SprintDuplicateQuestions
type: mteb/sprintduplicatequestions-pairclassification
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.75247524752476
verified: false
- type: cos_sim_ap
value: 94.16065078045173
verified: false
- type: cos_sim_f1
value: 87.22986247544205
verified: false
- type: cos_sim_precision
value: 85.71428571428571
verified: false
- type: cos_sim_recall
value: 88.8
verified: false
- type: dot_accuracy
value: 99.74554455445545
verified: false
- type: dot_ap
value: 93.90633887037264
verified: false
- type: dot_f1
value: 86.9873417721519
verified: false
- type: dot_precision
value: 88.1025641025641
verified: false
- type: dot_recall
value: 85.9
verified: false
- type: euclidean_accuracy
value: 99.75247524752476
verified: false
- type: euclidean_ap
value: 94.17466319018055
verified: false
- type: euclidean_f1
value: 87.3405299313052
verified: false
- type: euclidean_precision
value: 85.74181117533719
verified: false
- type: euclidean_recall
value: 89
verified: false
- type: manhattan_accuracy
value: 99.75445544554455
verified: false
- type: manhattan_ap
value: 94.27688371923577
verified: false
- type: manhattan_f1
value: 87.74002954209749
verified: false
- type: manhattan_precision
value: 86.42095053346266
verified: false
- type: manhattan_recall
value: 89.1
verified: false
- type: max_accuracy
value: 99.75445544554455
verified: false
- type: max_ap
value: 94.27688371923577
verified: false
- type: max_f1
value: 87.74002954209749
verified: false
- task:
type: Clustering
dataset:
name: MTEB StackExchangeClustering
type: mteb/stackexchange-clustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 71.26500637517056
verified: false
- task:
type: Clustering
dataset:
name: MTEB StackExchangeClusteringP2P
type: mteb/stackexchange-clustering-p2p
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 39.17507906280528
verified: false
- task:
type: Reranking
dataset:
name: MTEB StackOverflowDupQuestions
type: mteb/stackoverflowdupquestions-reranking
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 52.4848744828509
verified: false
- type: mrr
value: 53.33678168236992
verified: false
- task:
type: Summarization
dataset:
name: MTEB SummEval
type: mteb/summeval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 30.599864323827887
verified: false
- type: cos_sim_spearman
value: 30.91116204665598
verified: false
- type: dot_pearson
value: 30.82637894269936
verified: false
- type: dot_spearman
value: 30.957573868416066
verified: false
- task:
type: Retrieval
dataset:
name: MTEB TRECCOVID
type: mteb/trec-covid
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.23600000000000002
verified: false
- type: map_at_10
value: 1.892
verified: false
- type: map_at_100
value: 11.586
verified: false
- type: map_at_1000
value: 27.761999999999997
verified: false
- type: map_at_3
value: 0.653
verified: false
- type: map_at_5
value: 1.028
verified: false
- type: mrr_at_1
value: 88
verified: false
- type: mrr_at_10
value: 94
verified: false
- type: mrr_at_100
value: 94
verified: false
- type: mrr_at_1000
value: 94
verified: false
- type: mrr_at_3
value: 94
verified: false
- type: mrr_at_5
value: 94
verified: false
- type: ndcg_at_1
value: 82
verified: false
- type: ndcg_at_10
value: 77.48899999999999
verified: false
- type: ndcg_at_100
value: 60.141
verified: false
- type: ndcg_at_1000
value: 54.228
verified: false
- type: ndcg_at_3
value: 82.358
verified: false
- type: ndcg_at_5
value: 80.449
verified: false
- type: precision_at_1
value: 88
verified: false
- type: precision_at_10
value: 82.19999999999999
verified: false
- type: precision_at_100
value: 61.760000000000005
verified: false
- type: precision_at_1000
value: 23.684
verified: false
- type: precision_at_3
value: 88
verified: false
- type: precision_at_5
value: 85.6
verified: false
- type: recall_at_1
value: 0.23600000000000002
verified: false
- type: recall_at_10
value: 2.117
verified: false
- type: recall_at_100
value: 14.985000000000001
verified: false
- type: recall_at_1000
value: 51.107
verified: false
- type: recall_at_3
value: 0.688
verified: false
- type: recall_at_5
value: 1.1039999999999999
verified: false
- task:
type: Retrieval
dataset:
name: MTEB Touche2020
type: mteb/touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 2.3040000000000003
verified: false
- type: map_at_10
value: 9.025
verified: false
- type: map_at_100
value: 15.312999999999999
verified: false
- type: map_at_1000
value: 16.954
verified: false
- type: map_at_3
value: 4.981
verified: false
- type: map_at_5
value: 6.32
verified: false
- type: mrr_at_1
value: 24.490000000000002
verified: false
- type: mrr_at_10
value: 39.835
verified: false
- type: mrr_at_100
value: 40.8
verified: false
- type: mrr_at_1000
value: 40.8
verified: false
- type: mrr_at_3
value: 35.034
verified: false
- type: mrr_at_5
value: 37.687
verified: false
- type: ndcg_at_1
value: 22.448999999999998
verified: false
- type: ndcg_at_10
value: 22.545
verified: false
- type: ndcg_at_100
value: 35.931999999999995
verified: false
- type: ndcg_at_1000
value: 47.665
verified: false
- type: ndcg_at_3
value: 23.311
verified: false
- type: ndcg_at_5
value: 22.421
verified: false
- type: precision_at_1
value: 24.490000000000002
verified: false
- type: precision_at_10
value: 20.408
verified: false
- type: precision_at_100
value: 7.815999999999999
verified: false
- type: precision_at_1000
value: 1.553
verified: false
- type: precision_at_3
value: 25.169999999999998
verified: false
- type: precision_at_5
value: 23.265
verified: false
- type: recall_at_1
value: 2.3040000000000003
verified: false
- type: recall_at_10
value: 15.693999999999999
verified: false
- type: recall_at_100
value: 48.917
verified: false
- type: recall_at_1000
value: 84.964
verified: false
- type: recall_at_3
value: 6.026
verified: false
- type: recall_at_5
value: 9.066
verified: false
- task:
type: Classification
dataset:
name: MTEB ToxicConversationsClassification
type: mteb/toxic_conversations_50k
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 82.6074
verified: false
- type: ap
value: 23.187467098602013
verified: false
- type: f1
value: 65.36829506379657
verified: false
- task:
type: Classification
dataset:
name: MTEB TweetSentimentExtractionClassification
type: mteb/tweet_sentiment_extraction
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 63.16355404640635
verified: false
- type: f1
value: 63.534725639863346
verified: false
- task:
type: Clustering
dataset:
name: MTEB TwentyNewsgroupsClustering
type: mteb/twentynewsgroups-clustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 50.91004094411276
verified: false
- task:
type: PairClassification
dataset:
name: MTEB TwitterSemEval2015
type: mteb/twittersemeval2015-pairclassification
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 86.55301901412649
verified: false
- type: cos_sim_ap
value: 75.25312618556728
verified: false
- type: cos_sim_f1
value: 68.76561719140429
verified: false
- type: cos_sim_precision
value: 65.3061224489796
verified: false
- type: cos_sim_recall
value: 72.61213720316623
verified: false
- type: dot_accuracy
value: 86.29671574178936
verified: false
- type: dot_ap
value: 75.11910195501207
verified: false
- type: dot_f1
value: 68.44048376830045
verified: false
- type: dot_precision
value: 66.12546125461255
verified: false
- type: dot_recall
value: 70.92348284960423
verified: false
- type: euclidean_accuracy
value: 86.5828217202122
verified: false
- type: euclidean_ap
value: 75.22986344900924
verified: false
- type: euclidean_f1
value: 68.81267797449549
verified: false
- type: euclidean_precision
value: 64.8238861674831
verified: false
- type: euclidean_recall
value: 73.3245382585752
verified: false
- type: manhattan_accuracy
value: 86.61262442629791
verified: false
- type: manhattan_ap
value: 75.24401608557328
verified: false
- type: manhattan_f1
value: 68.80473982483257
verified: false
- type: manhattan_precision
value: 67.21187720181177
verified: false
- type: manhattan_recall
value: 70.47493403693932
verified: false
- type: max_accuracy
value: 86.61262442629791
verified: false
- type: max_ap
value: 75.25312618556728
verified: false
- type: max_f1
value: 68.81267797449549
verified: false
- task:
type: PairClassification
dataset:
name: MTEB TwitterURLCorpus
type: mteb/twitterurlcorpus-pairclassification
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 88.10688089416696
verified: false
- type: cos_sim_ap
value: 84.17862178779863
verified: false
- type: cos_sim_f1
value: 76.17305208781748
verified: false
- type: cos_sim_precision
value: 71.31246641590543
verified: false
- type: cos_sim_recall
value: 81.74468740375731
verified: false
- type: dot_accuracy
value: 88.1844995536927
verified: false
- type: dot_ap
value: 84.33816725235876
verified: false
- type: dot_f1
value: 76.43554032918746
verified: false
- type: dot_precision
value: 74.01557767200346
verified: false
- type: dot_recall
value: 79.0190945488143
verified: false
- type: euclidean_accuracy
value: 88.07001203089223
verified: false
- type: euclidean_ap
value: 84.12267000814985
verified: false
- type: euclidean_f1
value: 76.12232600180778
verified: false
- type: euclidean_precision
value: 74.50604541433205
verified: false
- type: euclidean_recall
value: 77.81028641823221
verified: false
- type: manhattan_accuracy
value: 88.06419063142779
verified: false
- type: manhattan_ap
value: 84.11648917164187
verified: false
- type: manhattan_f1
value: 76.20579953925474
verified: false
- type: manhattan_precision
value: 72.56772755762935
verified: false
- type: manhattan_recall
value: 80.22790267939637
verified: false
- type: max_accuracy
value: 88.1844995536927
verified: false
- type: max_ap
value: 84.33816725235876
verified: false
- type: max_f1
value: 76.43554032918746
verified: false | null | null | null | null | [
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"onnx/model.onnx",
"onnx/model_bnb4.onnx",
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] | null | null | null | 2024-08-09T03:32:05+00:00 | datasets:
- allenai/c4
language:
- en
library_name: transformers
license: apache-2.0
tags:
- sentence-transformers
- gte
- mteb
- transformers.js
- sentence-similarity
model-index:
- name: gte-large-en-v1.5
results:
- task:
type: Classification
dataset:
name: MTEB AmazonCounterfactualClassification (en)
type: mteb/amazon_counterfactual
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 73.01492537313432
verified: false
- type: ap
value: 35.05341696659522
verified: false
- type: f1
value: 66.71270310883853
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonPolarityClassification
type: mteb/amazon_polarity
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 93.97189999999999
verified: false
- type: ap
value: 90.5952493948908
verified: false
- type: f1
value: 93.95848137716877
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (en)
type: mteb/amazon_reviews_multi
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 54.196
verified: false
- type: f1
value: 53.80122334012787
verified: false
- task:
type: Retrieval
dataset:
name: MTEB ArguAna
type: mteb/arguana
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 47.297
verified: false
- type: map_at_10
value: 64.303
verified: false
- type: map_at_100
value: 64.541
verified: false
- type: map_at_1000
value: 64.541
verified: false
- type: map_at_3
value: 60.728
verified: false
- type: map_at_5
value: 63.114000000000004
verified: false
- type: mrr_at_1
value: 48.435
verified: false
- type: mrr_at_10
value: 64.657
verified: false
- type: mrr_at_100
value: 64.901
verified: false
- type: mrr_at_1000
value: 64.901
verified: false
- type: mrr_at_3
value: 61.06
verified: false
- type: mrr_at_5
value: 63.514
verified: false
- type: ndcg_at_1
value: 47.297
verified: false
- type: ndcg_at_10
value: 72.107
verified: false
- type: ndcg_at_100
value: 72.963
verified: false
- type: ndcg_at_1000
value: 72.963
verified: false
- type: ndcg_at_3
value: 65.063
verified: false
- type: ndcg_at_5
value: 69.352
verified: false
- type: precision_at_1
value: 47.297
verified: false
- type: precision_at_10
value: 9.623
verified: false
- type: precision_at_100
value: 0.996
verified: false
- type: precision_at_1000
value: 0.1
verified: false
- type: precision_at_3
value: 25.865
verified: false
- type: precision_at_5
value: 17.596
verified: false
- type: recall_at_1
value: 47.297
verified: false
- type: recall_at_10
value: 96.23
verified: false
- type: recall_at_100
value: 99.644
verified: false
- type: recall_at_1000
value: 99.644
verified: false
- type: recall_at_3
value: 77.596
verified: false
- type: recall_at_5
value: 87.98
verified: false
- task:
type: Clustering
dataset:
name: MTEB ArxivClusteringP2P
type: mteb/arxiv-clustering-p2p
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 48.467787861077475
verified: false
- task:
type: Clustering
dataset:
name: MTEB ArxivClusteringS2S
type: mteb/arxiv-clustering-s2s
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 43.39198391914257
verified: false
- task:
type: Reranking
dataset:
name: MTEB AskUbuntuDupQuestions
type: mteb/askubuntudupquestions-reranking
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 63.12794820591384
verified: false
- type: mrr
value: 75.9331442641692
verified: false
- task:
type: STS
dataset:
name: MTEB BIOSSES
type: mteb/biosses-sts
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 87.85062993863319
verified: false
- type: cos_sim_spearman
value: 85.39049989733459
verified: false
- type: euclidean_pearson
value: 86.00222680278333
verified: false
- type: euclidean_spearman
value: 85.45556162077396
verified: false
- type: manhattan_pearson
value: 85.88769871785621
verified: false
- type: manhattan_spearman
value: 85.11760211290839
verified: false
- task:
type: Classification
dataset:
name: MTEB Banking77Classification
type: mteb/banking77
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 87.32792207792208
verified: false
- type: f1
value: 87.29132945999555
verified: false
- task:
type: Clustering
dataset:
name: MTEB BiorxivClusteringP2P
type: mteb/biorxiv-clustering-p2p
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 40.5779328301945
verified: false
- task:
type: Clustering
dataset:
name: MTEB BiorxivClusteringS2S
type: mteb/biorxiv-clustering-s2s
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 37.94425623865118
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackAndroidRetrieval
type: mteb/cqadupstack-android
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 32.978
verified: false
- type: map_at_10
value: 44.45
verified: false
- type: map_at_100
value: 46.19
verified: false
- type: map_at_1000
value: 46.303
verified: false
- type: map_at_3
value: 40.849000000000004
verified: false
- type: map_at_5
value: 42.55
verified: false
- type: mrr_at_1
value: 40.629
verified: false
- type: mrr_at_10
value: 50.848000000000006
verified: false
- type: mrr_at_100
value: 51.669
verified: false
- type: mrr_at_1000
value: 51.705
verified: false
- type: mrr_at_3
value: 47.997
verified: false
- type: mrr_at_5
value: 49.506
verified: false
- type: ndcg_at_1
value: 40.629
verified: false
- type: ndcg_at_10
value: 51.102000000000004
verified: false
- type: ndcg_at_100
value: 57.159000000000006
verified: false
- type: ndcg_at_1000
value: 58.669000000000004
verified: false
- type: ndcg_at_3
value: 45.738
verified: false
- type: ndcg_at_5
value: 47.632999999999996
verified: false
- type: precision_at_1
value: 40.629
verified: false
- type: precision_at_10
value: 9.700000000000001
verified: false
- type: precision_at_100
value: 1.5970000000000002
verified: false
- type: precision_at_1000
value: 0.202
verified: false
- type: precision_at_3
value: 21.698
verified: false
- type: precision_at_5
value: 15.393
verified: false
- type: recall_at_1
value: 32.978
verified: false
- type: recall_at_10
value: 63.711
verified: false
- type: recall_at_100
value: 88.39399999999999
verified: false
- type: recall_at_1000
value: 97.513
verified: false
- type: recall_at_3
value: 48.025
verified: false
- type: recall_at_5
value: 53.52
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackEnglishRetrieval
type: mteb/cqadupstack-english
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 30.767
verified: false
- type: map_at_10
value: 42.195
verified: false
- type: map_at_100
value: 43.541999999999994
verified: false
- type: map_at_1000
value: 43.673
verified: false
- type: map_at_3
value: 38.561
verified: false
- type: map_at_5
value: 40.532000000000004
verified: false
- type: mrr_at_1
value: 38.79
verified: false
- type: mrr_at_10
value: 48.021
verified: false
- type: mrr_at_100
value: 48.735
verified: false
- type: mrr_at_1000
value: 48.776
verified: false
- type: mrr_at_3
value: 45.594
verified: false
- type: mrr_at_5
value: 46.986
verified: false
- type: ndcg_at_1
value: 38.79
verified: false
- type: ndcg_at_10
value: 48.468
verified: false
- type: ndcg_at_100
value: 53.037
verified: false
- type: ndcg_at_1000
value: 55.001999999999995
verified: false
- type: ndcg_at_3
value: 43.409
verified: false
- type: ndcg_at_5
value: 45.654
verified: false
- type: precision_at_1
value: 38.79
verified: false
- type: precision_at_10
value: 9.452
verified: false
- type: precision_at_100
value: 1.518
verified: false
- type: precision_at_1000
value: 0.201
verified: false
- type: precision_at_3
value: 21.21
verified: false
- type: precision_at_5
value: 15.171999999999999
verified: false
- type: recall_at_1
value: 30.767
verified: false
- type: recall_at_10
value: 60.118
verified: false
- type: recall_at_100
value: 79.271
verified: false
- type: recall_at_1000
value: 91.43299999999999
verified: false
- type: recall_at_3
value: 45.36
verified: false
- type: recall_at_5
value: 51.705
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackGamingRetrieval
type: mteb/cqadupstack-gaming
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 40.007
verified: false
- type: map_at_10
value: 53.529
verified: false
- type: map_at_100
value: 54.602
verified: false
- type: map_at_1000
value: 54.647
verified: false
- type: map_at_3
value: 49.951
verified: false
- type: map_at_5
value: 52.066
verified: false
- type: mrr_at_1
value: 45.705
verified: false
- type: mrr_at_10
value: 56.745000000000005
verified: false
- type: mrr_at_100
value: 57.43899999999999
verified: false
- type: mrr_at_1000
value: 57.462999999999994
verified: false
- type: mrr_at_3
value: 54.25299999999999
verified: false
- type: mrr_at_5
value: 55.842000000000006
verified: false
- type: ndcg_at_1
value: 45.705
verified: false
- type: ndcg_at_10
value: 59.809
verified: false
- type: ndcg_at_100
value: 63.837999999999994
verified: false
- type: ndcg_at_1000
value: 64.729
verified: false
- type: ndcg_at_3
value: 53.994
verified: false
- type: ndcg_at_5
value: 57.028
verified: false
- type: precision_at_1
value: 45.705
verified: false
- type: precision_at_10
value: 9.762
verified: false
- type: precision_at_100
value: 1.275
verified: false
- type: precision_at_1000
value: 0.13899999999999998
verified: false
- type: precision_at_3
value: 24.368000000000002
verified: false
- type: precision_at_5
value: 16.84
verified: false
- type: recall_at_1
value: 40.007
verified: false
- type: recall_at_10
value: 75.017
verified: false
- type: recall_at_100
value: 91.99000000000001
verified: false
- type: recall_at_1000
value: 98.265
verified: false
- type: recall_at_3
value: 59.704
verified: false
- type: recall_at_5
value: 67.109
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackGisRetrieval
type: mteb/cqadupstack-gis
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 26.639000000000003
verified: false
- type: map_at_10
value: 35.926
verified: false
- type: map_at_100
value: 37.126999999999995
verified: false
- type: map_at_1000
value: 37.202
verified: false
- type: map_at_3
value: 32.989000000000004
verified: false
- type: map_at_5
value: 34.465
verified: false
- type: mrr_at_1
value: 28.475
verified: false
- type: mrr_at_10
value: 37.7
verified: false
- type: mrr_at_100
value: 38.753
verified: false
- type: mrr_at_1000
value: 38.807
verified: false
- type: mrr_at_3
value: 35.066
verified: false
- type: mrr_at_5
value: 36.512
verified: false
- type: ndcg_at_1
value: 28.475
verified: false
- type: ndcg_at_10
value: 41.245
verified: false
- type: ndcg_at_100
value: 46.814
verified: false
- type: ndcg_at_1000
value: 48.571
verified: false
- type: ndcg_at_3
value: 35.528999999999996
verified: false
- type: ndcg_at_5
value: 38.066
verified: false
- type: precision_at_1
value: 28.475
verified: false
- type: precision_at_10
value: 6.497
verified: false
- type: precision_at_100
value: 0.9650000000000001
verified: false
- type: precision_at_1000
value: 0.11499999999999999
verified: false
- type: precision_at_3
value: 15.065999999999999
verified: false
- type: precision_at_5
value: 10.599
verified: false
- type: recall_at_1
value: 26.639000000000003
verified: false
- type: recall_at_10
value: 55.759
verified: false
- type: recall_at_100
value: 80.913
verified: false
- type: recall_at_1000
value: 93.929
verified: false
- type: recall_at_3
value: 40.454
verified: false
- type: recall_at_5
value: 46.439
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackMathematicaRetrieval
type: mteb/cqadupstack-mathematica
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 15.767999999999999
verified: false
- type: map_at_10
value: 24.811
verified: false
- type: map_at_100
value: 26.064999999999998
verified: false
- type: map_at_1000
value: 26.186999999999998
verified: false
- type: map_at_3
value: 21.736
verified: false
- type: map_at_5
value: 23.283
verified: false
- type: mrr_at_1
value: 19.527
verified: false
- type: mrr_at_10
value: 29.179
verified: false
- type: mrr_at_100
value: 30.153999999999996
verified: false
- type: mrr_at_1000
value: 30.215999999999998
verified: false
- type: mrr_at_3
value: 26.223000000000003
verified: false
- type: mrr_at_5
value: 27.733999999999998
verified: false
- type: ndcg_at_1
value: 19.527
verified: false
- type: ndcg_at_10
value: 30.786
verified: false
- type: ndcg_at_100
value: 36.644
verified: false
- type: ndcg_at_1000
value: 39.440999999999995
verified: false
- type: ndcg_at_3
value: 24.958
verified: false
- type: ndcg_at_5
value: 27.392
verified: false
- type: precision_at_1
value: 19.527
verified: false
- type: precision_at_10
value: 5.995
verified: false
- type: precision_at_100
value: 1.03
verified: false
- type: precision_at_1000
value: 0.14100000000000001
verified: false
- type: precision_at_3
value: 12.520999999999999
verified: false
- type: precision_at_5
value: 9.129
verified: false
- type: recall_at_1
value: 15.767999999999999
verified: false
- type: recall_at_10
value: 44.824000000000005
verified: false
- type: recall_at_100
value: 70.186
verified: false
- type: recall_at_1000
value: 89.934
verified: false
- type: recall_at_3
value: 28.607
verified: false
- type: recall_at_5
value: 34.836
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackPhysicsRetrieval
type: mteb/cqadupstack-physics
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 31.952
verified: false
- type: map_at_10
value: 44.438
verified: false
- type: map_at_100
value: 45.778
verified: false
- type: map_at_1000
value: 45.883
verified: false
- type: map_at_3
value: 41.044000000000004
verified: false
- type: map_at_5
value: 42.986000000000004
verified: false
- type: mrr_at_1
value: 39.172000000000004
verified: false
- type: mrr_at_10
value: 49.76
verified: false
- type: mrr_at_100
value: 50.583999999999996
verified: false
- type: mrr_at_1000
value: 50.621
verified: false
- type: mrr_at_3
value: 47.353
verified: false
- type: mrr_at_5
value: 48.739
verified: false
- type: ndcg_at_1
value: 39.172000000000004
verified: false
- type: ndcg_at_10
value: 50.760000000000005
verified: false
- type: ndcg_at_100
value: 56.084
verified: false
- type: ndcg_at_1000
value: 57.865
verified: false
- type: ndcg_at_3
value: 45.663
verified: false
- type: ndcg_at_5
value: 48.178
verified: false
- type: precision_at_1
value: 39.172000000000004
verified: false
- type: precision_at_10
value: 9.22
verified: false
- type: precision_at_100
value: 1.387
verified: false
- type: precision_at_1000
value: 0.17099999999999999
verified: false
- type: precision_at_3
value: 21.976000000000003
verified: false
- type: precision_at_5
value: 15.457
verified: false
- type: recall_at_1
value: 31.952
verified: false
- type: recall_at_10
value: 63.900999999999996
verified: false
- type: recall_at_100
value: 85.676
verified: false
- type: recall_at_1000
value: 97.03699999999999
verified: false
- type: recall_at_3
value: 49.781
verified: false
- type: recall_at_5
value: 56.330000000000005
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackProgrammersRetrieval
type: mteb/cqadupstack-programmers
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 25.332
verified: false
- type: map_at_10
value: 36.874
verified: false
- type: map_at_100
value: 38.340999999999994
verified: false
- type: map_at_1000
value: 38.452
verified: false
- type: map_at_3
value: 33.068
verified: false
- type: map_at_5
value: 35.324
verified: false
- type: mrr_at_1
value: 30.822
verified: false
- type: mrr_at_10
value: 41.641
verified: false
- type: mrr_at_100
value: 42.519
verified: false
- type: mrr_at_1000
value: 42.573
verified: false
- type: mrr_at_3
value: 38.413000000000004
verified: false
- type: mrr_at_5
value: 40.542
verified: false
- type: ndcg_at_1
value: 30.822
verified: false
- type: ndcg_at_10
value: 43.414
verified: false
- type: ndcg_at_100
value: 49.196
verified: false
- type: ndcg_at_1000
value: 51.237
verified: false
- type: ndcg_at_3
value: 37.230000000000004
verified: false
- type: ndcg_at_5
value: 40.405
verified: false
- type: precision_at_1
value: 30.822
verified: false
- type: precision_at_10
value: 8.379
verified: false
- type: precision_at_100
value: 1.315
verified: false
- type: precision_at_1000
value: 0.168
verified: false
- type: precision_at_3
value: 18.417
verified: false
- type: precision_at_5
value: 13.744
verified: false
- type: recall_at_1
value: 25.332
verified: false
- type: recall_at_10
value: 57.774
verified: false
- type: recall_at_100
value: 82.071
verified: false
- type: recall_at_1000
value: 95.60600000000001
verified: false
- type: recall_at_3
value: 40.722
verified: false
- type: recall_at_5
value: 48.754999999999995
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackRetrieval
type: mteb/cqadupstack
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 25.91033333333334
verified: false
- type: map_at_10
value: 36.23225000000001
verified: false
- type: map_at_100
value: 37.55766666666667
verified: false
- type: map_at_1000
value: 37.672583333333336
verified: false
- type: map_at_3
value: 32.95666666666667
verified: false
- type: map_at_5
value: 34.73375
verified: false
- type: mrr_at_1
value: 30.634
verified: false
- type: mrr_at_10
value: 40.19449999999999
verified: false
- type: mrr_at_100
value: 41.099250000000005
verified: false
- type: mrr_at_1000
value: 41.15091666666667
verified: false
- type: mrr_at_3
value: 37.4615
verified: false
- type: mrr_at_5
value: 39.00216666666667
verified: false
- type: ndcg_at_1
value: 30.634
verified: false
- type: ndcg_at_10
value: 42.162166666666664
verified: false
- type: ndcg_at_100
value: 47.60708333333333
verified: false
- type: ndcg_at_1000
value: 49.68616666666666
verified: false
- type: ndcg_at_3
value: 36.60316666666666
verified: false
- type: ndcg_at_5
value: 39.15616666666668
verified: false
- type: precision_at_1
value: 30.634
verified: false
- type: precision_at_10
value: 7.6193333333333335
verified: false
- type: precision_at_100
value: 1.2198333333333333
verified: false
- type: precision_at_1000
value: 0.15975000000000003
verified: false
- type: precision_at_3
value: 17.087
verified: false
- type: precision_at_5
value: 12.298333333333334
verified: false
- type: recall_at_1
value: 25.91033333333334
verified: false
- type: recall_at_10
value: 55.67300000000001
verified: false
- type: recall_at_100
value: 79.20608333333334
verified: false
- type: recall_at_1000
value: 93.34866666666667
verified: false
- type: recall_at_3
value: 40.34858333333333
verified: false
- type: recall_at_5
value: 46.834083333333325
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackStatsRetrieval
type: mteb/cqadupstack-stats
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 25.006
verified: false
- type: map_at_10
value: 32.177
verified: false
- type: map_at_100
value: 33.324999999999996
verified: false
- type: map_at_1000
value: 33.419
verified: false
- type: map_at_3
value: 29.952
verified: false
- type: map_at_5
value: 31.095
verified: false
- type: mrr_at_1
value: 28.066999999999997
verified: false
- type: mrr_at_10
value: 34.995
verified: false
- type: mrr_at_100
value: 35.978
verified: false
- type: mrr_at_1000
value: 36.042
verified: false
- type: mrr_at_3
value: 33.103
verified: false
- type: mrr_at_5
value: 34.001
verified: false
- type: ndcg_at_1
value: 28.066999999999997
verified: false
- type: ndcg_at_10
value: 36.481
verified: false
- type: ndcg_at_100
value: 42.022999999999996
verified: false
- type: ndcg_at_1000
value: 44.377
verified: false
- type: ndcg_at_3
value: 32.394
verified: false
- type: ndcg_at_5
value: 34.108
verified: false
- type: precision_at_1
value: 28.066999999999997
verified: false
- type: precision_at_10
value: 5.736
verified: false
- type: precision_at_100
value: 0.9259999999999999
verified: false
- type: precision_at_1000
value: 0.12
verified: false
- type: precision_at_3
value: 13.804
verified: false
- type: precision_at_5
value: 9.508999999999999
verified: false
- type: recall_at_1
value: 25.006
verified: false
- type: recall_at_10
value: 46.972
verified: false
- type: recall_at_100
value: 72.138
verified: false
- type: recall_at_1000
value: 89.479
verified: false
- type: recall_at_3
value: 35.793
verified: false
- type: recall_at_5
value: 39.947
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackTexRetrieval
type: mteb/cqadupstack-tex
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 16.07
verified: false
- type: map_at_10
value: 24.447
verified: false
- type: map_at_100
value: 25.685999999999996
verified: false
- type: map_at_1000
value: 25.813999999999997
verified: false
- type: map_at_3
value: 21.634
verified: false
- type: map_at_5
value: 23.133
verified: false
- type: mrr_at_1
value: 19.580000000000002
verified: false
- type: mrr_at_10
value: 28.127999999999997
verified: false
- type: mrr_at_100
value: 29.119
verified: false
- type: mrr_at_1000
value: 29.192
verified: false
- type: mrr_at_3
value: 25.509999999999998
verified: false
- type: mrr_at_5
value: 26.878
verified: false
- type: ndcg_at_1
value: 19.580000000000002
verified: false
- type: ndcg_at_10
value: 29.804000000000002
verified: false
- type: ndcg_at_100
value: 35.555
verified: false
- type: ndcg_at_1000
value: 38.421
verified: false
- type: ndcg_at_3
value: 24.654999999999998
verified: false
- type: ndcg_at_5
value: 26.881
verified: false
- type: precision_at_1
value: 19.580000000000002
verified: false
- type: precision_at_10
value: 5.736
verified: false
- type: precision_at_100
value: 1.005
verified: false
- type: precision_at_1000
value: 0.145
verified: false
- type: precision_at_3
value: 12.033000000000001
verified: false
- type: precision_at_5
value: 8.871
verified: false
- type: recall_at_1
value: 16.07
verified: false
- type: recall_at_10
value: 42.364000000000004
verified: false
- type: recall_at_100
value: 68.01899999999999
verified: false
- type: recall_at_1000
value: 88.122
verified: false
- type: recall_at_3
value: 27.846
verified: false
- type: recall_at_5
value: 33.638
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackUnixRetrieval
type: mteb/cqadupstack-unix
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 26.365
verified: false
- type: map_at_10
value: 36.591
verified: false
- type: map_at_100
value: 37.730000000000004
verified: false
- type: map_at_1000
value: 37.84
verified: false
- type: map_at_3
value: 33.403
verified: false
- type: map_at_5
value: 35.272999999999996
verified: false
- type: mrr_at_1
value: 30.503999999999998
verified: false
- type: mrr_at_10
value: 39.940999999999995
verified: false
- type: mrr_at_100
value: 40.818
verified: false
- type: mrr_at_1000
value: 40.876000000000005
verified: false
- type: mrr_at_3
value: 37.065
verified: false
- type: mrr_at_5
value: 38.814
verified: false
- type: ndcg_at_1
value: 30.503999999999998
verified: false
- type: ndcg_at_10
value: 42.185
verified: false
- type: ndcg_at_100
value: 47.416000000000004
verified: false
- type: ndcg_at_1000
value: 49.705
verified: false
- type: ndcg_at_3
value: 36.568
verified: false
- type: ndcg_at_5
value: 39.416000000000004
verified: false
- type: precision_at_1
value: 30.503999999999998
verified: false
- type: precision_at_10
value: 7.276000000000001
verified: false
- type: precision_at_100
value: 1.118
verified: false
- type: precision_at_1000
value: 0.14300000000000002
verified: false
- type: precision_at_3
value: 16.729
verified: false
- type: precision_at_5
value: 12.107999999999999
verified: false
- type: recall_at_1
value: 26.365
verified: false
- type: recall_at_10
value: 55.616
verified: false
- type: recall_at_100
value: 78.129
verified: false
- type: recall_at_1000
value: 93.95599999999999
verified: false
- type: recall_at_3
value: 40.686
verified: false
- type: recall_at_5
value: 47.668
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackWebmastersRetrieval
type: mteb/cqadupstack-webmasters
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 22.750999999999998
verified: false
- type: map_at_10
value: 33.446
verified: false
- type: map_at_100
value: 35.235
verified: false
- type: map_at_1000
value: 35.478
verified: false
- type: map_at_3
value: 29.358
verified: false
- type: map_at_5
value: 31.525
verified: false
- type: mrr_at_1
value: 27.668
verified: false
- type: mrr_at_10
value: 37.694
verified: false
- type: mrr_at_100
value: 38.732
verified: false
- type: mrr_at_1000
value: 38.779
verified: false
- type: mrr_at_3
value: 34.223
verified: false
- type: mrr_at_5
value: 36.08
verified: false
- type: ndcg_at_1
value: 27.668
verified: false
- type: ndcg_at_10
value: 40.557
verified: false
- type: ndcg_at_100
value: 46.605999999999995
verified: false
- type: ndcg_at_1000
value: 48.917
verified: false
- type: ndcg_at_3
value: 33.677
verified: false
- type: ndcg_at_5
value: 36.85
verified: false
- type: precision_at_1
value: 27.668
verified: false
- type: precision_at_10
value: 8.3
verified: false
- type: precision_at_100
value: 1.6260000000000001
verified: false
- type: precision_at_1000
value: 0.253
verified: false
- type: precision_at_3
value: 16.008
verified: false
- type: precision_at_5
value: 12.292
verified: false
- type: recall_at_1
value: 22.750999999999998
verified: false
- type: recall_at_10
value: 55.643
verified: false
- type: recall_at_100
value: 82.151
verified: false
- type: recall_at_1000
value: 95.963
verified: false
- type: recall_at_3
value: 36.623
verified: false
- type: recall_at_5
value: 44.708
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackWordpressRetrieval
type: mteb/cqadupstack-wordpress
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 17.288999999999998
verified: false
- type: map_at_10
value: 25.903
verified: false
- type: map_at_100
value: 27.071
verified: false
- type: map_at_1000
value: 27.173000000000002
verified: false
- type: map_at_3
value: 22.935
verified: false
- type: map_at_5
value: 24.573
verified: false
- type: mrr_at_1
value: 18.669
verified: false
- type: mrr_at_10
value: 27.682000000000002
verified: false
- type: mrr_at_100
value: 28.691
verified: false
- type: mrr_at_1000
value: 28.761
verified: false
- type: mrr_at_3
value: 24.738
verified: false
- type: mrr_at_5
value: 26.392
verified: false
- type: ndcg_at_1
value: 18.669
verified: false
- type: ndcg_at_10
value: 31.335
verified: false
- type: ndcg_at_100
value: 36.913000000000004
verified: false
- type: ndcg_at_1000
value: 39.300000000000004
verified: false
- type: ndcg_at_3
value: 25.423000000000002
verified: false
- type: ndcg_at_5
value: 28.262999999999998
verified: false
- type: precision_at_1
value: 18.669
verified: false
- type: precision_at_10
value: 5.379
verified: false
- type: precision_at_100
value: 0.876
verified: false
- type: precision_at_1000
value: 0.11900000000000001
verified: false
- type: precision_at_3
value: 11.214
verified: false
- type: precision_at_5
value: 8.466
verified: false
- type: recall_at_1
value: 17.288999999999998
verified: false
- type: recall_at_10
value: 46.377
verified: false
- type: recall_at_100
value: 71.53500000000001
verified: false
- type: recall_at_1000
value: 88.947
verified: false
- type: recall_at_3
value: 30.581999999999997
verified: false
- type: recall_at_5
value: 37.354
verified: false
- task:
type: Retrieval
dataset:
name: MTEB ClimateFEVER
type: mteb/climate-fever
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 21.795
verified: false
- type: map_at_10
value: 37.614999999999995
verified: false
- type: map_at_100
value: 40.037
verified: false
- type: map_at_1000
value: 40.184999999999995
verified: false
- type: map_at_3
value: 32.221
verified: false
- type: map_at_5
value: 35.154999999999994
verified: false
- type: mrr_at_1
value: 50.358000000000004
verified: false
- type: mrr_at_10
value: 62.129
verified: false
- type: mrr_at_100
value: 62.613
verified: false
- type: mrr_at_1000
value: 62.62
verified: false
- type: mrr_at_3
value: 59.272999999999996
verified: false
- type: mrr_at_5
value: 61.138999999999996
verified: false
- type: ndcg_at_1
value: 50.358000000000004
verified: false
- type: ndcg_at_10
value: 48.362
verified: false
- type: ndcg_at_100
value: 55.932
verified: false
- type: ndcg_at_1000
value: 58.062999999999995
verified: false
- type: ndcg_at_3
value: 42.111
verified: false
- type: ndcg_at_5
value: 44.063
verified: false
- type: precision_at_1
value: 50.358000000000004
verified: false
- type: precision_at_10
value: 14.677999999999999
verified: false
- type: precision_at_100
value: 2.2950000000000004
verified: false
- type: precision_at_1000
value: 0.271
verified: false
- type: precision_at_3
value: 31.77
verified: false
- type: precision_at_5
value: 23.375
verified: false
- type: recall_at_1
value: 21.795
verified: false
- type: recall_at_10
value: 53.846000000000004
verified: false
- type: recall_at_100
value: 78.952
verified: false
- type: recall_at_1000
value: 90.41900000000001
verified: false
- type: recall_at_3
value: 37.257
verified: false
- type: recall_at_5
value: 44.661
verified: false
- task:
type: Retrieval
dataset:
name: MTEB DBPedia
type: mteb/dbpedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 9.728
verified: false
- type: map_at_10
value: 22.691
verified: false
- type: map_at_100
value: 31.734
verified: false
- type: map_at_1000
value: 33.464
verified: false
- type: map_at_3
value: 16.273
verified: false
- type: map_at_5
value: 19.016
verified: false
- type: mrr_at_1
value: 73.25
verified: false
- type: mrr_at_10
value: 80.782
verified: false
- type: mrr_at_100
value: 81.01899999999999
verified: false
- type: mrr_at_1000
value: 81.021
verified: false
- type: mrr_at_3
value: 79.583
verified: false
- type: mrr_at_5
value: 80.146
verified: false
- type: ndcg_at_1
value: 59.62499999999999
verified: false
- type: ndcg_at_10
value: 46.304
verified: false
- type: ndcg_at_100
value: 51.23
verified: false
- type: ndcg_at_1000
value: 58.048
verified: false
- type: ndcg_at_3
value: 51.541000000000004
verified: false
- type: ndcg_at_5
value: 48.635
verified: false
- type: precision_at_1
value: 73.25
verified: false
- type: precision_at_10
value: 36.375
verified: false
- type: precision_at_100
value: 11.53
verified: false
- type: precision_at_1000
value: 2.23
verified: false
- type: precision_at_3
value: 55.583000000000006
verified: false
- type: precision_at_5
value: 47.15
verified: false
- type: recall_at_1
value: 9.728
verified: false
- type: recall_at_10
value: 28.793999999999997
verified: false
- type: recall_at_100
value: 57.885
verified: false
- type: recall_at_1000
value: 78.759
verified: false
- type: recall_at_3
value: 17.79
verified: false
- type: recall_at_5
value: 21.733
verified: false
- task:
type: Classification
dataset:
name: MTEB EmotionClassification
type: mteb/emotion
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 46.775
verified: false
- type: f1
value: 41.89794273264891
verified: false
- task:
type: Retrieval
dataset:
name: MTEB FEVER
type: mteb/fever
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
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value: 85.378
verified: false
- type: map_at_10
value: 91.51
verified: false
- type: map_at_100
value: 91.666
verified: false
- type: map_at_1000
value: 91.676
verified: false
- type: map_at_3
value: 90.757
verified: false
- type: map_at_5
value: 91.277
verified: false
- type: mrr_at_1
value: 91.839
verified: false
- type: mrr_at_10
value: 95.49
verified: false
- type: mrr_at_100
value: 95.493
verified: false
- type: mrr_at_1000
value: 95.493
verified: false
- type: mrr_at_3
value: 95.345
verified: false
- type: mrr_at_5
value: 95.47200000000001
verified: false
- type: ndcg_at_1
value: 91.839
verified: false
- type: ndcg_at_10
value: 93.806
verified: false
- type: ndcg_at_100
value: 94.255
verified: false
- type: ndcg_at_1000
value: 94.399
verified: false
- type: ndcg_at_3
value: 93.027
verified: false
- type: ndcg_at_5
value: 93.51
verified: false
- type: precision_at_1
value: 91.839
verified: false
- type: precision_at_10
value: 10.93
verified: false
- type: precision_at_100
value: 1.1400000000000001
verified: false
- type: precision_at_1000
value: 0.117
verified: false
- type: precision_at_3
value: 34.873
verified: false
- type: precision_at_5
value: 21.44
verified: false
- type: recall_at_1
value: 85.378
verified: false
- type: recall_at_10
value: 96.814
verified: false
- type: recall_at_100
value: 98.386
verified: false
- type: recall_at_1000
value: 99.21600000000001
verified: false
- type: recall_at_3
value: 94.643
verified: false
- type: recall_at_5
value: 95.976
verified: false
- task:
type: Retrieval
dataset:
name: MTEB FiQA2018
type: mteb/fiqa
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
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value: 32.190000000000005
verified: false
- type: map_at_10
value: 53.605000000000004
verified: false
- type: map_at_100
value: 55.550999999999995
verified: false
- type: map_at_1000
value: 55.665
verified: false
- type: map_at_3
value: 46.62
verified: false
- type: map_at_5
value: 50.517999999999994
verified: false
- type: mrr_at_1
value: 60.34
verified: false
- type: mrr_at_10
value: 70.775
verified: false
- type: mrr_at_100
value: 71.238
verified: false
- type: mrr_at_1000
value: 71.244
verified: false
- type: mrr_at_3
value: 68.72399999999999
verified: false
- type: mrr_at_5
value: 69.959
verified: false
- type: ndcg_at_1
value: 60.34
verified: false
- type: ndcg_at_10
value: 63.226000000000006
verified: false
- type: ndcg_at_100
value: 68.60300000000001
verified: false
- type: ndcg_at_1000
value: 69.901
verified: false
- type: ndcg_at_3
value: 58.048
verified: false
- type: ndcg_at_5
value: 59.789
verified: false
- type: precision_at_1
value: 60.34
verified: false
- type: precision_at_10
value: 17.130000000000003
verified: false
- type: precision_at_100
value: 2.29
verified: false
- type: precision_at_1000
value: 0.256
verified: false
- type: precision_at_3
value: 38.323
verified: false
- type: precision_at_5
value: 27.87
verified: false
- type: recall_at_1
value: 32.190000000000005
verified: false
- type: recall_at_10
value: 73.041
verified: false
- type: recall_at_100
value: 91.31
verified: false
- type: recall_at_1000
value: 98.104
verified: false
- type: recall_at_3
value: 53.70399999999999
verified: false
- type: recall_at_5
value: 62.358999999999995
verified: false
- task:
type: Retrieval
dataset:
name: MTEB HotpotQA
type: mteb/hotpotqa
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
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value: 43.511
verified: false
- type: map_at_10
value: 58.15
verified: false
- type: map_at_100
value: 58.95399999999999
verified: false
- type: map_at_1000
value: 59.018
verified: false
- type: map_at_3
value: 55.31700000000001
verified: false
- type: map_at_5
value: 57.04900000000001
verified: false
- type: mrr_at_1
value: 87.022
verified: false
- type: mrr_at_10
value: 91.32000000000001
verified: false
- type: mrr_at_100
value: 91.401
verified: false
- type: mrr_at_1000
value: 91.403
verified: false
- type: mrr_at_3
value: 90.77
verified: false
- type: mrr_at_5
value: 91.156
verified: false
- type: ndcg_at_1
value: 87.022
verified: false
- type: ndcg_at_10
value: 68.183
verified: false
- type: ndcg_at_100
value: 70.781
verified: false
- type: ndcg_at_1000
value: 72.009
verified: false
- type: ndcg_at_3
value: 64.334
verified: false
- type: ndcg_at_5
value: 66.449
verified: false
- type: precision_at_1
value: 87.022
verified: false
- type: precision_at_10
value: 13.406
verified: false
- type: precision_at_100
value: 1.542
verified: false
- type: precision_at_1000
value: 0.17099999999999999
verified: false
- type: precision_at_3
value: 39.023
verified: false
- type: precision_at_5
value: 25.080000000000002
verified: false
- type: recall_at_1
value: 43.511
verified: false
- type: recall_at_10
value: 67.02900000000001
verified: false
- type: recall_at_100
value: 77.11
verified: false
- type: recall_at_1000
value: 85.294
verified: false
- type: recall_at_3
value: 58.535000000000004
verified: false
- type: recall_at_5
value: 62.70099999999999
verified: false
- task:
type: Classification
dataset:
name: MTEB ImdbClassification
type: mteb/imdb
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 92.0996
verified: false
- type: ap
value: 87.86206089096373
verified: false
- type: f1
value: 92.07554547510763
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MSMARCO
type: mteb/msmarco
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 23.179
verified: false
- type: map_at_10
value: 35.86
verified: false
- type: map_at_100
value: 37.025999999999996
verified: false
- type: map_at_1000
value: 37.068
verified: false
- type: map_at_3
value: 31.921
verified: false
- type: map_at_5
value: 34.172000000000004
verified: false
- type: mrr_at_1
value: 23.926
verified: false
- type: mrr_at_10
value: 36.525999999999996
verified: false
- type: mrr_at_100
value: 37.627
verified: false
- type: mrr_at_1000
value: 37.665
verified: false
- type: mrr_at_3
value: 32.653
verified: false
- type: mrr_at_5
value: 34.897
verified: false
- type: ndcg_at_1
value: 23.910999999999998
verified: false
- type: ndcg_at_10
value: 42.927
verified: false
- type: ndcg_at_100
value: 48.464
verified: false
- type: ndcg_at_1000
value: 49.533
verified: false
- type: ndcg_at_3
value: 34.910000000000004
verified: false
- type: ndcg_at_5
value: 38.937
verified: false
- type: precision_at_1
value: 23.910999999999998
verified: false
- type: precision_at_10
value: 6.758
verified: false
- type: precision_at_100
value: 0.9520000000000001
verified: false
- type: precision_at_1000
value: 0.104
verified: false
- type: precision_at_3
value: 14.838000000000001
verified: false
- type: precision_at_5
value: 10.934000000000001
verified: false
- type: recall_at_1
value: 23.179
verified: false
- type: recall_at_10
value: 64.622
verified: false
- type: recall_at_100
value: 90.135
verified: false
- type: recall_at_1000
value: 98.301
verified: false
- type: recall_at_3
value: 42.836999999999996
verified: false
- type: recall_at_5
value: 52.512
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPDomainClassification (en)
type: mteb/mtop_domain
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 96.59598723210215
verified: false
- type: f1
value: 96.41913500001952
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPIntentClassification (en)
type: mteb/mtop_intent
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 82.89557683538533
verified: false
- type: f1
value: 63.379319722356264
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveIntentClassification (en)
type: mteb/amazon_massive_intent
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 78.93745796906524
verified: false
- type: f1
value: 75.71616541785902
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (en)
type: mteb/amazon_massive_scenario
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 81.41223940820443
verified: false
- type: f1
value: 81.2877893719078
verified: false
- task:
type: Clustering
dataset:
name: MTEB MedrxivClusteringP2P
type: mteb/medrxiv-clustering-p2p
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 35.03682528325662
verified: false
- task:
type: Clustering
dataset:
name: MTEB MedrxivClusteringS2S
type: mteb/medrxiv-clustering-s2s
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 32.942529406124
verified: false
- task:
type: Reranking
dataset:
name: MTEB MindSmallReranking
type: mteb/mind_small
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 31.459949660460317
verified: false
- type: mrr
value: 32.70509582031616
verified: false
- task:
type: Retrieval
dataset:
name: MTEB NFCorpus
type: mteb/nfcorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
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value: 6.497
verified: false
- type: map_at_10
value: 13.843
verified: false
- type: map_at_100
value: 17.713
verified: false
- type: map_at_1000
value: 19.241
verified: false
- type: map_at_3
value: 10.096
verified: false
- type: map_at_5
value: 11.85
verified: false
- type: mrr_at_1
value: 48.916
verified: false
- type: mrr_at_10
value: 57.764
verified: false
- type: mrr_at_100
value: 58.251
verified: false
- type: mrr_at_1000
value: 58.282999999999994
verified: false
- type: mrr_at_3
value: 55.623999999999995
verified: false
- type: mrr_at_5
value: 57.018
verified: false
- type: ndcg_at_1
value: 46.594
verified: false
- type: ndcg_at_10
value: 36.945
verified: false
- type: ndcg_at_100
value: 34.06
verified: false
- type: ndcg_at_1000
value: 43.05
verified: false
- type: ndcg_at_3
value: 41.738
verified: false
- type: ndcg_at_5
value: 39.330999999999996
verified: false
- type: precision_at_1
value: 48.916
verified: false
- type: precision_at_10
value: 27.43
verified: false
- type: precision_at_100
value: 8.616
verified: false
- type: precision_at_1000
value: 2.155
verified: false
- type: precision_at_3
value: 39.112
verified: false
- type: precision_at_5
value: 33.808
verified: false
- type: recall_at_1
value: 6.497
verified: false
- type: recall_at_10
value: 18.163
verified: false
- type: recall_at_100
value: 34.566
verified: false
- type: recall_at_1000
value: 67.15
verified: false
- type: recall_at_3
value: 11.100999999999999
verified: false
- type: recall_at_5
value: 14.205000000000002
verified: false
- task:
type: Retrieval
dataset:
name: MTEB NQ
type: mteb/nq
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 31.916
verified: false
- type: map_at_10
value: 48.123
verified: false
- type: map_at_100
value: 49.103
verified: false
- type: map_at_1000
value: 49.131
verified: false
- type: map_at_3
value: 43.711
verified: false
- type: map_at_5
value: 46.323
verified: false
- type: mrr_at_1
value: 36.181999999999995
verified: false
- type: mrr_at_10
value: 50.617999999999995
verified: false
- type: mrr_at_100
value: 51.329
verified: false
- type: mrr_at_1000
value: 51.348000000000006
verified: false
- type: mrr_at_3
value: 47.010999999999996
verified: false
- type: mrr_at_5
value: 49.175000000000004
verified: false
- type: ndcg_at_1
value: 36.181999999999995
verified: false
- type: ndcg_at_10
value: 56.077999999999996
verified: false
- type: ndcg_at_100
value: 60.037
verified: false
- type: ndcg_at_1000
value: 60.63499999999999
verified: false
- type: ndcg_at_3
value: 47.859
verified: false
- type: ndcg_at_5
value: 52.178999999999995
verified: false
- type: precision_at_1
value: 36.181999999999995
verified: false
- type: precision_at_10
value: 9.284
verified: false
- type: precision_at_100
value: 1.149
verified: false
- type: precision_at_1000
value: 0.121
verified: false
- type: precision_at_3
value: 22.006999999999998
verified: false
- type: precision_at_5
value: 15.695
verified: false
- type: recall_at_1
value: 31.916
verified: false
- type: recall_at_10
value: 77.771
verified: false
- type: recall_at_100
value: 94.602
verified: false
- type: recall_at_1000
value: 98.967
verified: false
- type: recall_at_3
value: 56.528
verified: false
- type: recall_at_5
value: 66.527
verified: false
- task:
type: Retrieval
dataset:
name: MTEB QuoraRetrieval
type: mteb/quora
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 71.486
verified: false
- type: map_at_10
value: 85.978
verified: false
- type: map_at_100
value: 86.587
verified: false
- type: map_at_1000
value: 86.598
verified: false
- type: map_at_3
value: 83.04899999999999
verified: false
- type: map_at_5
value: 84.857
verified: false
- type: mrr_at_1
value: 82.32000000000001
verified: false
- type: mrr_at_10
value: 88.64
verified: false
- type: mrr_at_100
value: 88.702
verified: false
- type: mrr_at_1000
value: 88.702
verified: false
- type: mrr_at_3
value: 87.735
verified: false
- type: mrr_at_5
value: 88.36
verified: false
- type: ndcg_at_1
value: 82.34
verified: false
- type: ndcg_at_10
value: 89.67
verified: false
- type: ndcg_at_100
value: 90.642
verified: false
- type: ndcg_at_1000
value: 90.688
verified: false
- type: ndcg_at_3
value: 86.932
verified: false
- type: ndcg_at_5
value: 88.408
verified: false
- type: precision_at_1
value: 82.34
verified: false
- type: precision_at_10
value: 13.675999999999998
verified: false
- type: precision_at_100
value: 1.544
verified: false
- type: precision_at_1000
value: 0.157
verified: false
- type: precision_at_3
value: 38.24
verified: false
- type: precision_at_5
value: 25.068
verified: false
- type: recall_at_1
value: 71.486
verified: false
- type: recall_at_10
value: 96.844
verified: false
- type: recall_at_100
value: 99.843
verified: false
- type: recall_at_1000
value: 99.996
verified: false
- type: recall_at_3
value: 88.92099999999999
verified: false
- type: recall_at_5
value: 93.215
verified: false
- task:
type: Clustering
dataset:
name: MTEB RedditClustering
type: mteb/reddit-clustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 59.75758437908334
verified: false
- task:
type: Clustering
dataset:
name: MTEB RedditClusteringP2P
type: mteb/reddit-clustering-p2p
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 68.03497914092789
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SCIDOCS
type: mteb/scidocs
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 5.808
verified: false
- type: map_at_10
value: 16.059
verified: false
- type: map_at_100
value: 19.048000000000002
verified: false
- type: map_at_1000
value: 19.43
verified: false
- type: map_at_3
value: 10.953
verified: false
- type: map_at_5
value: 13.363
verified: false
- type: mrr_at_1
value: 28.7
verified: false
- type: mrr_at_10
value: 42.436
verified: false
- type: mrr_at_100
value: 43.599
verified: false
- type: mrr_at_1000
value: 43.62
verified: false
- type: mrr_at_3
value: 38.45
verified: false
- type: mrr_at_5
value: 40.89
verified: false
- type: ndcg_at_1
value: 28.7
verified: false
- type: ndcg_at_10
value: 26.346000000000004
verified: false
- type: ndcg_at_100
value: 36.758
verified: false
- type: ndcg_at_1000
value: 42.113
verified: false
- type: ndcg_at_3
value: 24.254
verified: false
- type: ndcg_at_5
value: 21.506
verified: false
- type: precision_at_1
value: 28.7
verified: false
- type: precision_at_10
value: 13.969999999999999
verified: false
- type: precision_at_100
value: 2.881
verified: false
- type: precision_at_1000
value: 0.414
verified: false
- type: precision_at_3
value: 22.933
verified: false
- type: precision_at_5
value: 19.220000000000002
verified: false
- type: recall_at_1
value: 5.808
verified: false
- type: recall_at_10
value: 28.310000000000002
verified: false
- type: recall_at_100
value: 58.475
verified: false
- type: recall_at_1000
value: 84.072
verified: false
- type: recall_at_3
value: 13.957
verified: false
- type: recall_at_5
value: 19.515
verified: false
- task:
type: STS
dataset:
name: MTEB SICK-R
type: mteb/sickr-sts
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 82.39274129958557
verified: false
- type: cos_sim_spearman
value: 79.78021235170053
verified: false
- type: euclidean_pearson
value: 79.35335401300166
verified: false
- type: euclidean_spearman
value: 79.7271870968275
verified: false
- type: manhattan_pearson
value: 79.35256263340601
verified: false
- type: manhattan_spearman
value: 79.76036386976321
verified: false
- task:
type: STS
dataset:
name: MTEB STS12
type: mteb/sts12-sts
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 83.99130429246708
verified: false
- type: cos_sim_spearman
value: 73.88322811171203
verified: false
- type: euclidean_pearson
value: 80.7569419170376
verified: false
- type: euclidean_spearman
value: 73.82542155409597
verified: false
- type: manhattan_pearson
value: 80.79468183847625
verified: false
- type: manhattan_spearman
value: 73.87027144047784
verified: false
- task:
type: STS
dataset:
name: MTEB STS13
type: mteb/sts13-sts
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 84.88548789489907
verified: false
- type: cos_sim_spearman
value: 85.07535893847255
verified: false
- type: euclidean_pearson
value: 84.6637222061494
verified: false
- type: euclidean_spearman
value: 85.14200626702456
verified: false
- type: manhattan_pearson
value: 84.75327892344734
verified: false
- type: manhattan_spearman
value: 85.24406181838596
verified: false
- task:
type: STS
dataset:
name: MTEB STS14
type: mteb/sts14-sts
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 82.88140039325008
verified: false
- type: cos_sim_spearman
value: 79.61211268112362
verified: false
- type: euclidean_pearson
value: 81.29639728816458
verified: false
- type: euclidean_spearman
value: 79.51284578041442
verified: false
- type: manhattan_pearson
value: 81.3381797137111
verified: false
- type: manhattan_spearman
value: 79.55683684039808
verified: false
- task:
type: STS
dataset:
name: MTEB STS15
type: mteb/sts15-sts
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 85.16716737270485
verified: false
- type: cos_sim_spearman
value: 86.14823841857738
verified: false
- type: euclidean_pearson
value: 85.36325733440725
verified: false
- type: euclidean_spearman
value: 86.04919691402029
verified: false
- type: manhattan_pearson
value: 85.3147511385052
verified: false
- type: manhattan_spearman
value: 86.00676205857764
verified: false
- task:
type: STS
dataset:
name: MTEB STS16
type: mteb/sts16-sts
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 80.34266645861588
verified: false
- type: cos_sim_spearman
value: 81.59914035005882
verified: false
- type: euclidean_pearson
value: 81.15053076245988
verified: false
- type: euclidean_spearman
value: 81.52776915798489
verified: false
- type: manhattan_pearson
value: 81.1819647418673
verified: false
- type: manhattan_spearman
value: 81.57479527353556
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (en-en)
type: mteb/sts17-crosslingual-sts
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 89.38263326821439
verified: false
- type: cos_sim_spearman
value: 89.10946308202642
verified: false
- type: euclidean_pearson
value: 88.87831312540068
verified: false
- type: euclidean_spearman
value: 89.03615865973664
verified: false
- type: manhattan_pearson
value: 88.79835539970384
verified: false
- type: manhattan_spearman
value: 88.9766156339753
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (en)
type: mteb/sts22-crosslingual-sts
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 70.1574915581685
verified: false
- type: cos_sim_spearman
value: 70.59144980004054
verified: false
- type: euclidean_pearson
value: 71.43246306918755
verified: false
- type: euclidean_spearman
value: 70.5544189562984
verified: false
- type: manhattan_pearson
value: 71.4071414609503
verified: false
- type: manhattan_spearman
value: 70.31799126163712
verified: false
- task:
type: STS
dataset:
name: MTEB STSBenchmark
type: mteb/stsbenchmark-sts
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 83.36215796635351
verified: false
- type: cos_sim_spearman
value: 83.07276756467208
verified: false
- type: euclidean_pearson
value: 83.06690453635584
verified: false
- type: euclidean_spearman
value: 82.9635366303289
verified: false
- type: manhattan_pearson
value: 83.04994049700815
verified: false
- type: manhattan_spearman
value: 82.98120125356036
verified: false
- task:
type: Reranking
dataset:
name: MTEB SciDocsRR
type: mteb/scidocs-reranking
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 86.92530011616722
verified: false
- type: mrr
value: 96.21826793395421
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SciFact
type: mteb/scifact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 65.75
verified: false
- type: map_at_10
value: 77.701
verified: false
- type: map_at_100
value: 78.005
verified: false
- type: map_at_1000
value: 78.006
verified: false
- type: map_at_3
value: 75.48
verified: false
- type: map_at_5
value: 76.927
verified: false
- type: mrr_at_1
value: 68.333
verified: false
- type: mrr_at_10
value: 78.511
verified: false
- type: mrr_at_100
value: 78.704
verified: false
- type: mrr_at_1000
value: 78.704
verified: false
- type: mrr_at_3
value: 77
verified: false
- type: mrr_at_5
value: 78.083
verified: false
- type: ndcg_at_1
value: 68.333
verified: false
- type: ndcg_at_10
value: 82.42699999999999
verified: false
- type: ndcg_at_100
value: 83.486
verified: false
- type: ndcg_at_1000
value: 83.511
verified: false
- type: ndcg_at_3
value: 78.96300000000001
verified: false
- type: ndcg_at_5
value: 81.028
verified: false
- type: precision_at_1
value: 68.333
verified: false
- type: precision_at_10
value: 10.667
verified: false
- type: precision_at_100
value: 1.127
verified: false
- type: precision_at_1000
value: 0.11299999999999999
verified: false
- type: precision_at_3
value: 31.333
verified: false
- type: precision_at_5
value: 20.133000000000003
verified: false
- type: recall_at_1
value: 65.75
verified: false
- type: recall_at_10
value: 95.578
verified: false
- type: recall_at_100
value: 99.833
verified: false
- type: recall_at_1000
value: 100
verified: false
- type: recall_at_3
value: 86.506
verified: false
- type: recall_at_5
value: 91.75
verified: false
- task:
type: PairClassification
dataset:
name: MTEB SprintDuplicateQuestions
type: mteb/sprintduplicatequestions-pairclassification
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.75247524752476
verified: false
- type: cos_sim_ap
value: 94.16065078045173
verified: false
- type: cos_sim_f1
value: 87.22986247544205
verified: false
- type: cos_sim_precision
value: 85.71428571428571
verified: false
- type: cos_sim_recall
value: 88.8
verified: false
- type: dot_accuracy
value: 99.74554455445545
verified: false
- type: dot_ap
value: 93.90633887037264
verified: false
- type: dot_f1
value: 86.9873417721519
verified: false
- type: dot_precision
value: 88.1025641025641
verified: false
- type: dot_recall
value: 85.9
verified: false
- type: euclidean_accuracy
value: 99.75247524752476
verified: false
- type: euclidean_ap
value: 94.17466319018055
verified: false
- type: euclidean_f1
value: 87.3405299313052
verified: false
- type: euclidean_precision
value: 85.74181117533719
verified: false
- type: euclidean_recall
value: 89
verified: false
- type: manhattan_accuracy
value: 99.75445544554455
verified: false
- type: manhattan_ap
value: 94.27688371923577
verified: false
- type: manhattan_f1
value: 87.74002954209749
verified: false
- type: manhattan_precision
value: 86.42095053346266
verified: false
- type: manhattan_recall
value: 89.1
verified: false
- type: max_accuracy
value: 99.75445544554455
verified: false
- type: max_ap
value: 94.27688371923577
verified: false
- type: max_f1
value: 87.74002954209749
verified: false
- task:
type: Clustering
dataset:
name: MTEB StackExchangeClustering
type: mteb/stackexchange-clustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 71.26500637517056
verified: false
- task:
type: Clustering
dataset:
name: MTEB StackExchangeClusteringP2P
type: mteb/stackexchange-clustering-p2p
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 39.17507906280528
verified: false
- task:
type: Reranking
dataset:
name: MTEB StackOverflowDupQuestions
type: mteb/stackoverflowdupquestions-reranking
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 52.4848744828509
verified: false
- type: mrr
value: 53.33678168236992
verified: false
- task:
type: Summarization
dataset:
name: MTEB SummEval
type: mteb/summeval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 30.599864323827887
verified: false
- type: cos_sim_spearman
value: 30.91116204665598
verified: false
- type: dot_pearson
value: 30.82637894269936
verified: false
- type: dot_spearman
value: 30.957573868416066
verified: false
- task:
type: Retrieval
dataset:
name: MTEB TRECCOVID
type: mteb/trec-covid
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.23600000000000002
verified: false
- type: map_at_10
value: 1.892
verified: false
- type: map_at_100
value: 11.586
verified: false
- type: map_at_1000
value: 27.761999999999997
verified: false
- type: map_at_3
value: 0.653
verified: false
- type: map_at_5
value: 1.028
verified: false
- type: mrr_at_1
value: 88
verified: false
- type: mrr_at_10
value: 94
verified: false
- type: mrr_at_100
value: 94
verified: false
- type: mrr_at_1000
value: 94
verified: false
- type: mrr_at_3
value: 94
verified: false
- type: mrr_at_5
value: 94
verified: false
- type: ndcg_at_1
value: 82
verified: false
- type: ndcg_at_10
value: 77.48899999999999
verified: false
- type: ndcg_at_100
value: 60.141
verified: false
- type: ndcg_at_1000
value: 54.228
verified: false
- type: ndcg_at_3
value: 82.358
verified: false
- type: ndcg_at_5
value: 80.449
verified: false
- type: precision_at_1
value: 88
verified: false
- type: precision_at_10
value: 82.19999999999999
verified: false
- type: precision_at_100
value: 61.760000000000005
verified: false
- type: precision_at_1000
value: 23.684
verified: false
- type: precision_at_3
value: 88
verified: false
- type: precision_at_5
value: 85.6
verified: false
- type: recall_at_1
value: 0.23600000000000002
verified: false
- type: recall_at_10
value: 2.117
verified: false
- type: recall_at_100
value: 14.985000000000001
verified: false
- type: recall_at_1000
value: 51.107
verified: false
- type: recall_at_3
value: 0.688
verified: false
- type: recall_at_5
value: 1.1039999999999999
verified: false
- task:
type: Retrieval
dataset:
name: MTEB Touche2020
type: mteb/touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 2.3040000000000003
verified: false
- type: map_at_10
value: 9.025
verified: false
- type: map_at_100
value: 15.312999999999999
verified: false
- type: map_at_1000
value: 16.954
verified: false
- type: map_at_3
value: 4.981
verified: false
- type: map_at_5
value: 6.32
verified: false
- type: mrr_at_1
value: 24.490000000000002
verified: false
- type: mrr_at_10
value: 39.835
verified: false
- type: mrr_at_100
value: 40.8
verified: false
- type: mrr_at_1000
value: 40.8
verified: false
- type: mrr_at_3
value: 35.034
verified: false
- type: mrr_at_5
value: 37.687
verified: false
- type: ndcg_at_1
value: 22.448999999999998
verified: false
- type: ndcg_at_10
value: 22.545
verified: false
- type: ndcg_at_100
value: 35.931999999999995
verified: false
- type: ndcg_at_1000
value: 47.665
verified: false
- type: ndcg_at_3
value: 23.311
verified: false
- type: ndcg_at_5
value: 22.421
verified: false
- type: precision_at_1
value: 24.490000000000002
verified: false
- type: precision_at_10
value: 20.408
verified: false
- type: precision_at_100
value: 7.815999999999999
verified: false
- type: precision_at_1000
value: 1.553
verified: false
- type: precision_at_3
value: 25.169999999999998
verified: false
- type: precision_at_5
value: 23.265
verified: false
- type: recall_at_1
value: 2.3040000000000003
verified: false
- type: recall_at_10
value: 15.693999999999999
verified: false
- type: recall_at_100
value: 48.917
verified: false
- type: recall_at_1000
value: 84.964
verified: false
- type: recall_at_3
value: 6.026
verified: false
- type: recall_at_5
value: 9.066
verified: false
- task:
type: Classification
dataset:
name: MTEB ToxicConversationsClassification
type: mteb/toxic_conversations_50k
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 82.6074
verified: false
- type: ap
value: 23.187467098602013
verified: false
- type: f1
value: 65.36829506379657
verified: false
- task:
type: Classification
dataset:
name: MTEB TweetSentimentExtractionClassification
type: mteb/tweet_sentiment_extraction
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 63.16355404640635
verified: false
- type: f1
value: 63.534725639863346
verified: false
- task:
type: Clustering
dataset:
name: MTEB TwentyNewsgroupsClustering
type: mteb/twentynewsgroups-clustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 50.91004094411276
verified: false
- task:
type: PairClassification
dataset:
name: MTEB TwitterSemEval2015
type: mteb/twittersemeval2015-pairclassification
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 86.55301901412649
verified: false
- type: cos_sim_ap
value: 75.25312618556728
verified: false
- type: cos_sim_f1
value: 68.76561719140429
verified: false
- type: cos_sim_precision
value: 65.3061224489796
verified: false
- type: cos_sim_recall
value: 72.61213720316623
verified: false
- type: dot_accuracy
value: 86.29671574178936
verified: false
- type: dot_ap
value: 75.11910195501207
verified: false
- type: dot_f1
value: 68.44048376830045
verified: false
- type: dot_precision
value: 66.12546125461255
verified: false
- type: dot_recall
value: 70.92348284960423
verified: false
- type: euclidean_accuracy
value: 86.5828217202122
verified: false
- type: euclidean_ap
value: 75.22986344900924
verified: false
- type: euclidean_f1
value: 68.81267797449549
verified: false
- type: euclidean_precision
value: 64.8238861674831
verified: false
- type: euclidean_recall
value: 73.3245382585752
verified: false
- type: manhattan_accuracy
value: 86.61262442629791
verified: false
- type: manhattan_ap
value: 75.24401608557328
verified: false
- type: manhattan_f1
value: 68.80473982483257
verified: false
- type: manhattan_precision
value: 67.21187720181177
verified: false
- type: manhattan_recall
value: 70.47493403693932
verified: false
- type: max_accuracy
value: 86.61262442629791
verified: false
- type: max_ap
value: 75.25312618556728
verified: false
- type: max_f1
value: 68.81267797449549
verified: false
- task:
type: PairClassification
dataset:
name: MTEB TwitterURLCorpus
type: mteb/twitterurlcorpus-pairclassification
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 88.10688089416696
verified: false
- type: cos_sim_ap
value: 84.17862178779863
verified: false
- type: cos_sim_f1
value: 76.17305208781748
verified: false
- type: cos_sim_precision
value: 71.31246641590543
verified: false
- type: cos_sim_recall
value: 81.74468740375731
verified: false
- type: dot_accuracy
value: 88.1844995536927
verified: false
- type: dot_ap
value: 84.33816725235876
verified: false
- type: dot_f1
value: 76.43554032918746
verified: false
- type: dot_precision
value: 74.01557767200346
verified: false
- type: dot_recall
value: 79.0190945488143
verified: false
- type: euclidean_accuracy
value: 88.07001203089223
verified: false
- type: euclidean_ap
value: 84.12267000814985
verified: false
- type: euclidean_f1
value: 76.12232600180778
verified: false
- type: euclidean_precision
value: 74.50604541433205
verified: false
- type: euclidean_recall
value: 77.81028641823221
verified: false
- type: manhattan_accuracy
value: 88.06419063142779
verified: false
- type: manhattan_ap
value: 84.11648917164187
verified: false
- type: manhattan_f1
value: 76.20579953925474
verified: false
- type: manhattan_precision
value: 72.56772755762935
verified: false
- type: manhattan_recall
value: 80.22790267939637
verified: false
- type: max_accuracy
value: 88.1844995536927
verified: false
- type: max_ap
value: 84.33816725235876
verified: false
- type: max_f1
value: 76.43554032918746
verified: false | null | 66232e66a69964fa9867af80 | Alibaba-NLP/gte-large-en-v1.5 |
myshell-ai/OpenVoiceV2 | myshell-ai | f36e7edfe1684461a8343844af60babc2efbb727 | 2024-12-24T19:19:30+00:00 | 2024-04-23T18:09:57Z | false | False | null | 0 | null | 383 | null | null | explicit-opt-out | null | [
"audio",
"text-to-speech",
"instant-voice-cloning",
"en",
"zh",
"license:mit",
"region:us"
] | text-to-speech | null | 3 | language:
- en
- zh
license: mit
tags:
- audio
- text-to-speech
- instant-voice-cloning
inference: false | null | null | null | null | [
".DS_Store",
".gitattributes",
"README.md",
"base_speakers/.DS_Store",
"base_speakers/ses/en-au.pth",
"base_speakers/ses/en-br.pth",
"base_speakers/ses/en-default.pth",
"base_speakers/ses/en-india.pth",
"base_speakers/ses/en-newest.pth",
"base_speakers/ses/en-us.pth",
"base_speakers/ses/es.pth",
"base_speakers/ses/fr.pth",
"base_speakers/ses/jp.pth",
"base_speakers/ses/kr.pth",
"base_speakers/ses/zh.pth",
"converter/checkpoint.pth",
"converter/config.json"
] | null | null | null | 2024-12-24T19:19:30+00:00 | language:
- en
- zh
license: mit
tags:
- audio
- text-to-speech
- instant-voice-cloning
inference: false | null | 6627f975ddb4d091c698e4ac | myshell-ai/OpenVoiceV2 |
aaditya/Llama3-OpenBioLLM-70B | aaditya | 7ad17ef0d2185811f731f89d20885b2f99b1e994 | 2025-01-18T07:39:15+00:00 | 2024-04-24T02:21:12Z | false | False | null | 24,418 | null | 411 | transformers | null | not-popular-enough | null | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama-3",
"Mixtral",
"instruct",
"finetune",
"chatml",
"DPO",
"RLHF",
"gpt4",
"distillation",
"heathcare",
"medical",
"clinical",
"med",
"lifescience",
"Pharmaceutical",
"Pharma",
"conversational",
"en",
"arxiv:2305.18290",
"arxiv:2303.13375",
"arxiv:2212.13138",
"arxiv:2305.09617",
"arxiv:2402.07023",
"base_model:meta-llama/Meta-Llama-3-70B-Instruct",
"base_model:finetune:meta-llama/Meta-Llama-3-70B-Instruct",
"license:llama3",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | null | 3 | base_model: meta-llama/Meta-Llama-3-70B-Instruct
language:
- en
license: llama3
tags:
- llama-3
- llama
- Mixtral
- instruct
- finetune
- chatml
- DPO
- RLHF
- gpt4
- distillation
- heathcare
- medical
- clinical
- med
- lifescience
- Pharmaceutical
- Pharma
widget:
- example_title: OpenBioLLM-70B
messages:
- role: system
content: You are an expert and experienced from the healthcare and biomedical
domain with extensive medical knowledge and practical experience.
- role: user
content: How long does it take for newborn jaundice to go away?
output:
text: 'Newborn jaundice, also known as neonatal jaundice, is a common condition
in newborns where the yellowing of the skin and eyes occurs due to an elevated
level of bilirubin in the blood. Bilirubin is a yellow pigment that forms when
red blood cells break down. In most cases, newborn jaundice resolves on its
own without any specific treatment.
The duration of newborn jaundice can vary depending on several factors such
as the underlying cause, gestational age at birth, and individual variations
in bilirubin metabolism. Here are some general guidelines:
1. Physiological jaundice: This is the most common type of newborn jaundice
and usually appears within 24-72 hours after birth. It tends to peak between
the second and fifth day of life and gradually improves over the next week or
two. By the time the baby is one week old, the jaundice should have mostly resolved.
2. Breast milk jaundice: This type of jaundice occurs in breastfed babies and
may appear later than physiological jaundice, typically between the fifth and
fourteenth day of life. It tends to persist for a longer duration but usually
resolves within six weeks after birth. 3. Pathological jaundice: This type of
jaundice is less common and occurs due to an underlying medical condition that
affects bilirubin metabolism or liver function. The duration of pathological
jaundice depends on the specific cause and may require treatment.
It''s important for parents to monitor their newborn''s jaundice closely and
seek medical advice if the jaundice progresses rapidly, becomes severe, or is
accompanied by other symptoms such as poor feeding, lethargy, or excessive sleepiness.
In these cases, further evaluation and management may be necessary. Remember
that each baby is unique, and the timing of jaundice resolution can vary. If
you have concerns about your newborn''s jaundice, it''s always best to consult
with a healthcare professional for personalized advice and guidance.'
model-index:
- name: OpenBioLLM-70B
results: [] | null | null | null | null | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"pytorch_model-00001-of-00030.bin",
"pytorch_model-00002-of-00030.bin",
"pytorch_model-00003-of-00030.bin",
"pytorch_model-00004-of-00030.bin",
"pytorch_model-00005-of-00030.bin",
"pytorch_model-00006-of-00030.bin",
"pytorch_model-00007-of-00030.bin",
"pytorch_model-00008-of-00030.bin",
"pytorch_model-00009-of-00030.bin",
"pytorch_model-00010-of-00030.bin",
"pytorch_model-00011-of-00030.bin",
"pytorch_model-00012-of-00030.bin",
"pytorch_model-00013-of-00030.bin",
"pytorch_model-00014-of-00030.bin",
"pytorch_model-00015-of-00030.bin",
"pytorch_model-00016-of-00030.bin",
"pytorch_model-00017-of-00030.bin",
"pytorch_model-00018-of-00030.bin",
"pytorch_model-00019-of-00030.bin",
"pytorch_model-00020-of-00030.bin",
"pytorch_model-00021-of-00030.bin",
"pytorch_model-00022-of-00030.bin",
"pytorch_model-00023-of-00030.bin",
"pytorch_model-00024-of-00030.bin",
"pytorch_model-00025-of-00030.bin",
"pytorch_model-00026-of-00030.bin",
"pytorch_model-00027-of-00030.bin",
"pytorch_model-00028-of-00030.bin",
"pytorch_model-00029-of-00030.bin",
"pytorch_model-00030-of-00030.bin",
"pytorch_model.bin.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | null | null | null | 2025-01-18T07:39:15+00:00 | base_model: meta-llama/Meta-Llama-3-70B-Instruct
language:
- en
license: llama3
tags:
- llama-3
- llama
- Mixtral
- instruct
- finetune
- chatml
- DPO
- RLHF
- gpt4
- distillation
- heathcare
- medical
- clinical
- med
- lifescience
- Pharmaceutical
- Pharma
widget:
- example_title: OpenBioLLM-70B
messages:
- role: system
content: You are an expert and experienced from the healthcare and biomedical
domain with extensive medical knowledge and practical experience.
- role: user
content: How long does it take for newborn jaundice to go away?
output:
text: 'Newborn jaundice, also known as neonatal jaundice, is a common condition
in newborns where the yellowing of the skin and eyes occurs due to an elevated
level of bilirubin in the blood. Bilirubin is a yellow pigment that forms when
red blood cells break down. In most cases, newborn jaundice resolves on its
own without any specific treatment.
The duration of newborn jaundice can vary depending on several factors such
as the underlying cause, gestational age at birth, and individual variations
in bilirubin metabolism. Here are some general guidelines:
1. Physiological jaundice: This is the most common type of newborn jaundice
and usually appears within 24-72 hours after birth. It tends to peak between
the second and fifth day of life and gradually improves over the next week or
two. By the time the baby is one week old, the jaundice should have mostly resolved.
2. Breast milk jaundice: This type of jaundice occurs in breastfed babies and
may appear later than physiological jaundice, typically between the fifth and
fourteenth day of life. It tends to persist for a longer duration but usually
resolves within six weeks after birth. 3. Pathological jaundice: This type of
jaundice is less common and occurs due to an underlying medical condition that
affects bilirubin metabolism or liver function. The duration of pathological
jaundice depends on the specific cause and may require treatment.
It''s important for parents to monitor their newborn''s jaundice closely and
seek medical advice if the jaundice progresses rapidly, becomes severe, or is
accompanied by other symptoms such as poor feeding, lethargy, or excessive sleepiness.
In these cases, further evaluation and management may be necessary. Remember
that each baby is unique, and the timing of jaundice resolution can vary. If
you have concerns about your newborn''s jaundice, it''s always best to consult
with a healthcare professional for personalized advice and guidance.'
model-index:
- name: OpenBioLLM-70B
results: [] | null | 66286c9842709fe826603f58 | aaditya/Llama3-OpenBioLLM-70B |
MLP-KTLim/llama-3-Korean-Bllossom-8B | MLP-KTLim | ed9647c18477ee09a03690c613c859eddca24362 | 2024-12-18T12:18:13+00:00 | 2024-04-25T10:16:43Z | false | False | null | 110,668 | null | 323 | transformers | null | not-popular-enough | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"en",
"ko",
"arxiv:2403.10882",
"arxiv:2403.11399",
"base_model:meta-llama/Meta-Llama-3-8B",
"base_model:finetune:meta-llama/Meta-Llama-3-8B",
"license:llama3",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | null | 3 | base_model:
- meta-llama/Meta-Llama-3-8B
language:
- en
- ko
library_name: transformers
license: llama3 | null | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | null | null | null | 2024-12-18T12:18:13+00:00 | base_model:
- meta-llama/Meta-Llama-3-8B
language:
- en
- ko
library_name: transformers
license: llama3 | null | 662a2d8b084d6b7ab42d8a15 | MLP-KTLim/llama-3-Korean-Bllossom-8B |
mistralai/Mistral-7B-v0.3 | mistralai | d8cadc02ac76bd617a919d50b092e59d2d110aff | 2024-07-24T14:00:32+00:00 | 2024-05-22T09:56:38Z | false | auto | null | 170,251 | null | 458 | transformers | null | cold | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | null | 3 | license: apache-2.0
extra_gated_description: If you want to learn more about how we process your personal
data, please read our <a href="https://mistral.ai/fr/terms/">Privacy Policy</a>. | null | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"consolidated.safetensors",
"generation_config.json",
"model-00001-of-00003.safetensors",
"model-00002-of-00003.safetensors",
"model-00003-of-00003.safetensors",
"model.safetensors.index.json",
"params.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer.model.v3",
"tokenizer_config.json"
] | null | null | null | 2024-07-24T14:00:32+00:00 | license: apache-2.0
extra_gated_description: If you want to learn more about how we process your personal
data, please read our <a href="https://mistral.ai/fr/terms/">Privacy Policy</a>. | null | 664dc156dba1a2aeb958dc90 | mistralai/Mistral-7B-v0.3 |
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